ai34.pynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyP+AwC+RHMQlPKRcovcxhQo"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","metadata":{"id":"VFA_QLfjnPhC","executionInfo":{"status":"error","timestamp":1676401803792,"user_tz":-120,"elapsed":121,"user":{"displayName":"sipson wegner","userId":"05494696086424071090"}},"outputId":"08feb4ee-9e43-41d3-9cc4-7db5add7511a","colab":{"base_uri":"https://localhost:8080/","height":345}},"source":["import pandas as pd\n","dataset = pd.read_csv('cancer.csv')"],"execution_count":1,"outputs":[{"output_type":"error","ename":"FileNotFoundError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m<ipython-input-1-a914f6471e24>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdataset\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'cancer.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m                     \u001b[0mstacklevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstacklevel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    310\u001b[0m                 )\n\u001b[0;32m--> 311\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    312\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[1;32m    584\u001b[0m     \u001b[0mkwds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwds_defaults\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    585\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 586\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    587\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    588\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    480\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    481\u001b[0m     \u001b[0;31m# Create the parser.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 482\u001b[0;31m     \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    483\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    484\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m    809\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"has_index_names\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"has_index_names\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    810\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 811\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    812\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    813\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[0;34m(self, engine)\u001b[0m\n\u001b[1;32m   1038\u001b[0m             )\n\u001b[1;32m   1039\u001b[0m         \u001b[0;31m# error: Too many arguments for \"ParserBase\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1040\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mmapping\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[call-arg]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1041\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1042\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_failover_to_python\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/c_parser_wrapper.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, **kwds)\u001b[0m\n\u001b[1;32m     49\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     50\u001b[0m         \u001b[0;31m# open handles\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 51\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_open_handles\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     52\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandles\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     53\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/base_parser.py\u001b[0m in \u001b[0;36m_open_handles\u001b[0;34m(self, src, kwds)\u001b[0m\n\u001b[1;32m    220\u001b[0m         \u001b[0mLet\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mreaders\u001b[0m \u001b[0mopen\u001b[0m \u001b[0mIOHandles\u001b[0m \u001b[0mafter\u001b[0m \u001b[0mthey\u001b[0m \u001b[0mare\u001b[0m \u001b[0mdone\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mtheir\u001b[0m \u001b[0mpotential\u001b[0m \u001b[0mraises\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    221\u001b[0m         \"\"\"\n\u001b[0;32m--> 222\u001b[0;31m         self.handles = get_handle(\n\u001b[0m\u001b[1;32m    223\u001b[0m             \u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    224\u001b[0m             \u001b[0;34m\"r\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/io/common.py\u001b[0m in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m    700\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mioargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mencoding\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m\"b\"\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mioargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    701\u001b[0m             \u001b[0;31m# Encoding\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 702\u001b[0;31m             handle = open(\n\u001b[0m\u001b[1;32m    703\u001b[0m                 \u001b[0mhandle\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    704\u001b[0m                 \u001b[0mioargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'cancer.csv'"]}]},{"cell_type":"code","metadata":{"id":"t_GdmqurqSCF"},"source":["x = dataset.drop(columns=[\"diagnosis(1=m, 0=b)\"])"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"Ckbt8YNstf59"},"source":["y = dataset[\"diagnosis(1=m, 0=b)\"]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"YBwdSIf_tuuw"},"source":["from sklearn.model_selection import train_test_split\n","x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"8B-M6g19u_ht"},"source":["import tensorflow as tf\n","model = tf.keras.models.Sequential()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"_wV2ihTRv5y6"},"source":["model.add(tf.keras.layers.Dense(256, input_shape=x_train.shape, activation='sigmoid'))\n","model.add(tf.keras.layers.Dense(256, activation='sigmoid'))\n","model.add(tf.keras.layers.Dense(1, activation='sigmoid'))\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"vjjVdfTnyE5h"},"source":["model.compile(optimizer='adam',loss='binary_crossentropy', metrics=['accuracy'])"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ft_UxYlcyimV","executionInfo":{"status":"ok","timestamp":1631794415331,"user_tz":-120,"elapsed":83216,"user":{"displayName":"sipson wegner ngale","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjDT7hYQ6cTIlOSm4x-qbvwb0cHwuYY1gFHK9Ltgw=s64","userId":"05494696086424071090"}},"outputId":"a9c523f6-4cd7-479f-e6b0-9b7478a07f89"},"source":["model.fit(x_train, y_train, epochs=1000)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0694 - accuracy: 0.9604\n","Epoch 2/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0856 - accuracy: 0.9582\n","Epoch 3/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0647 - accuracy: 0.9714\n","Epoch 4/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0694 - accuracy: 0.9692\n","Epoch 5/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0658 - accuracy: 0.9692\n","Epoch 6/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0664 - accuracy: 0.9758\n","Epoch 7/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0616 - accuracy: 0.9714\n","Epoch 8/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1078 - accuracy: 0.9538\n","Epoch 9/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0685 - accuracy: 0.9692\n","Epoch 10/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0592 - accuracy: 0.9714\n","Epoch 11/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0695 - accuracy: 0.9648\n","Epoch 12/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0652 - accuracy: 0.9802\n","Epoch 13/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0788 - accuracy: 0.9582\n","Epoch 14/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0793 - accuracy: 0.9648\n","Epoch 15/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1084 - accuracy: 0.9473\n","Epoch 16/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1681 - accuracy: 0.9143\n","Epoch 17/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1030 - accuracy: 0.9604\n","Epoch 18/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0673 - accuracy: 0.9780\n","Epoch 19/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0760 - accuracy: 0.9714\n","Epoch 20/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0776 - accuracy: 0.9758\n","Epoch 21/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1157 - accuracy: 0.9473\n","Epoch 22/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0789 - accuracy: 0.9714\n","Epoch 23/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0713 - accuracy: 0.9736\n","Epoch 24/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0731 - accuracy: 0.9714\n","Epoch 25/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1117 - accuracy: 0.9495\n","Epoch 26/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1206 - accuracy: 0.9473\n","Epoch 27/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0795 - accuracy: 0.9714\n","Epoch 28/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0691 - accuracy: 0.9714\n","Epoch 29/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0589 - accuracy: 0.9736\n","Epoch 30/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0603 - accuracy: 0.9736\n","Epoch 31/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0601 - accuracy: 0.9758\n","Epoch 32/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1017 - accuracy: 0.9582\n","Epoch 33/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1242 - accuracy: 0.9495\n","Epoch 34/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0953 - accuracy: 0.9538\n","Epoch 35/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1003 - accuracy: 0.9538\n","Epoch 36/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1458 - accuracy: 0.9451\n","Epoch 37/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1146 - accuracy: 0.9582\n","Epoch 38/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0879 - accuracy: 0.9648\n","Epoch 39/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0757 - accuracy: 0.9626\n","Epoch 40/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0732 - accuracy: 0.9648\n","Epoch 41/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0701 - accuracy: 0.9736\n","Epoch 42/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0628 - accuracy: 0.9714\n","Epoch 43/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0724 - accuracy: 0.9670\n","Epoch 44/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0806 - accuracy: 0.9670\n","Epoch 45/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1139 - accuracy: 0.9451\n","Epoch 46/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0986 - accuracy: 0.9626\n","Epoch 47/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0782 - accuracy: 0.9714\n","Epoch 48/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0841 - accuracy: 0.9648\n","Epoch 49/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0986 - accuracy: 0.9560\n","Epoch 50/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0682 - accuracy: 0.9604\n","Epoch 51/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0780 - accuracy: 0.9670\n","Epoch 52/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0729 - accuracy: 0.9714\n","Epoch 53/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0724 - accuracy: 0.9692\n","Epoch 54/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0570 - accuracy: 0.9692\n","Epoch 55/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0652 - accuracy: 0.9670\n","Epoch 56/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0612 - accuracy: 0.9692\n","Epoch 57/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0590 - accuracy: 0.9714\n","Epoch 58/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0837 - accuracy: 0.9604\n","Epoch 59/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0653 - accuracy: 0.9648\n","Epoch 60/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0567 - accuracy: 0.9736\n","Epoch 61/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0625 - accuracy: 0.9692\n","Epoch 62/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0587 - accuracy: 0.9758\n","Epoch 63/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0696 - accuracy: 0.9714\n","Epoch 64/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0615 - accuracy: 0.9758\n","Epoch 65/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0647 - accuracy: 0.9714\n","Epoch 66/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0638 - accuracy: 0.9692\n","Epoch 67/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0555 - accuracy: 0.9670\n","Epoch 68/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0739 - accuracy: 0.9626\n","Epoch 69/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0830 - accuracy: 0.9714\n","Epoch 70/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1041 - accuracy: 0.9560\n","Epoch 71/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0848 - accuracy: 0.9648\n","Epoch 72/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0726 - accuracy: 0.9736\n","Epoch 73/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0880 - accuracy: 0.9626\n","Epoch 74/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0805 - accuracy: 0.9604\n","Epoch 75/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1841 - accuracy: 0.9341\n","Epoch 76/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1010 - accuracy: 0.9582\n","Epoch 77/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1115 - accuracy: 0.9538\n","Epoch 78/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1011 - accuracy: 0.9670\n","Epoch 79/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0926 - accuracy: 0.9626\n","Epoch 80/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0740 - accuracy: 0.9626\n","Epoch 81/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0643 - accuracy: 0.9736\n","Epoch 82/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0680 - accuracy: 0.9736\n","Epoch 83/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0639 - accuracy: 0.9670\n","Epoch 84/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0673 - accuracy: 0.9714\n","Epoch 85/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0746 - accuracy: 0.9714\n","Epoch 86/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0600 - accuracy: 0.9758\n","Epoch 87/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0711 - accuracy: 0.9670\n","Epoch 88/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0594 - accuracy: 0.9736\n","Epoch 89/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0841 - accuracy: 0.9538\n","Epoch 90/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0968 - accuracy: 0.9626\n","Epoch 91/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0754 - accuracy: 0.9626\n","Epoch 92/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0993 - accuracy: 0.9626\n","Epoch 93/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0701 - accuracy: 0.9714\n","Epoch 94/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0662 - accuracy: 0.9758\n","Epoch 95/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0698 - accuracy: 0.9714\n","Epoch 96/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0668 - accuracy: 0.9692\n","Epoch 97/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1126 - accuracy: 0.9560\n","Epoch 98/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0709 - accuracy: 0.9670\n","Epoch 99/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0728 - accuracy: 0.9692\n","Epoch 100/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1031 - accuracy: 0.9582\n","Epoch 101/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0678 - accuracy: 0.9670\n","Epoch 102/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0547 - accuracy: 0.9780\n","Epoch 103/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0748 - accuracy: 0.9648\n","Epoch 104/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1045 - accuracy: 0.9516\n","Epoch 105/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1141 - accuracy: 0.9516\n","Epoch 106/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1202 - accuracy: 0.9407\n","Epoch 107/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0793 - accuracy: 0.9648\n","Epoch 108/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0669 - accuracy: 0.9780\n","Epoch 109/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0825 - accuracy: 0.9626\n","Epoch 110/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0669 - accuracy: 0.9714\n","Epoch 111/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0751 - accuracy: 0.9626\n","Epoch 112/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1251 - accuracy: 0.9626\n","Epoch 113/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0993 - accuracy: 0.9560\n","Epoch 114/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1071 - accuracy: 0.9516\n","Epoch 115/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0737 - accuracy: 0.9692\n","Epoch 116/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1359 - accuracy: 0.9407\n","Epoch 117/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1521 - accuracy: 0.9341\n","Epoch 118/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1259 - accuracy: 0.9451\n","Epoch 119/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1096 - accuracy: 0.9473\n","Epoch 120/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0750 - accuracy: 0.9692\n","Epoch 121/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0617 - accuracy: 0.9802\n","Epoch 122/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0592 - accuracy: 0.9736\n","Epoch 123/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0618 - accuracy: 0.9736\n","Epoch 124/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0570 - accuracy: 0.9692\n","Epoch 125/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0573 - accuracy: 0.9736\n","Epoch 126/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0535 - accuracy: 0.9736\n","Epoch 127/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0746 - accuracy: 0.9670\n","Epoch 128/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0879 - accuracy: 0.9626\n","Epoch 129/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0593 - accuracy: 0.9714\n","Epoch 130/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0619 - accuracy: 0.9670\n","Epoch 131/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0691 - accuracy: 0.9670\n","Epoch 132/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0943 - accuracy: 0.9560\n","Epoch 133/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0698 - accuracy: 0.9692\n","Epoch 134/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0736 - accuracy: 0.9626\n","Epoch 135/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0755 - accuracy: 0.9736\n","Epoch 136/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0646 - accuracy: 0.9714\n","Epoch 137/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0544 - accuracy: 0.9714\n","Epoch 138/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0613 - accuracy: 0.9758\n","Epoch 139/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0751 - accuracy: 0.9714\n","Epoch 140/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0966 - accuracy: 0.9604\n","Epoch 141/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1664 - accuracy: 0.9473\n","Epoch 142/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1568 - accuracy: 0.9451\n","Epoch 143/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0910 - accuracy: 0.9692\n","Epoch 144/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1055 - accuracy: 0.9473\n","Epoch 145/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1113 - accuracy: 0.9560\n","Epoch 146/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0688 - accuracy: 0.9736\n","Epoch 147/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0693 - accuracy: 0.9670\n","Epoch 148/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0605 - accuracy: 0.9736\n","Epoch 149/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0604 - accuracy: 0.9758\n","Epoch 150/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0541 - accuracy: 0.9780\n","Epoch 151/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0685 - accuracy: 0.9714\n","Epoch 152/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0702 - accuracy: 0.9692\n","Epoch 153/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0676 - accuracy: 0.9626\n","Epoch 154/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0774 - accuracy: 0.9758\n","Epoch 155/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0711 - accuracy: 0.9626\n","Epoch 156/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0607 - accuracy: 0.9692\n","Epoch 157/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0692 - accuracy: 0.9648\n","Epoch 158/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0723 - accuracy: 0.9670\n","Epoch 159/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0807 - accuracy: 0.9648\n","Epoch 160/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0905 - accuracy: 0.9626\n","Epoch 161/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0635 - accuracy: 0.9670\n","Epoch 162/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0686 - accuracy: 0.9736\n","Epoch 163/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0602 - accuracy: 0.9758\n","Epoch 164/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0627 - accuracy: 0.9692\n","Epoch 165/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0703 - accuracy: 0.9736\n","Epoch 166/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0597 - accuracy: 0.9780\n","Epoch 167/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0617 - accuracy: 0.9736\n","Epoch 168/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0597 - accuracy: 0.9692\n","Epoch 169/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1670 - accuracy: 0.9253\n","Epoch 170/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1295 - accuracy: 0.9407\n","Epoch 171/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0956 - accuracy: 0.9516\n","Epoch 172/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0637 - accuracy: 0.9714\n","Epoch 173/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0705 - accuracy: 0.9714\n","Epoch 174/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1092 - accuracy: 0.9538\n","Epoch 175/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0633 - accuracy: 0.9736\n","Epoch 176/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0759 - accuracy: 0.9692\n","Epoch 177/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0698 - accuracy: 0.9670\n","Epoch 178/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0616 - accuracy: 0.9736\n","Epoch 179/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0727 - accuracy: 0.9648\n","Epoch 180/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0708 - accuracy: 0.9626\n","Epoch 181/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0571 - accuracy: 0.9758\n","Epoch 182/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0587 - accuracy: 0.9714\n","Epoch 183/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0945 - accuracy: 0.9626\n","Epoch 184/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0920 - accuracy: 0.9582\n","Epoch 185/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0620 - accuracy: 0.9692\n","Epoch 186/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0836 - accuracy: 0.9626\n","Epoch 187/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0642 - accuracy: 0.9736\n","Epoch 188/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0634 - accuracy: 0.9736\n","Epoch 189/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1112 - accuracy: 0.9582\n","Epoch 190/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0688 - accuracy: 0.9670\n","Epoch 191/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0727 - accuracy: 0.9626\n","Epoch 192/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1002 - accuracy: 0.9407\n","Epoch 193/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0896 - accuracy: 0.9626\n","Epoch 194/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0989 - accuracy: 0.9604\n","Epoch 195/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0956 - accuracy: 0.9516\n","Epoch 196/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0644 - accuracy: 0.9692\n","Epoch 197/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0703 - accuracy: 0.9736\n","Epoch 198/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0791 - accuracy: 0.9560\n","Epoch 199/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0557 - accuracy: 0.9802\n","Epoch 200/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0744 - accuracy: 0.9626\n","Epoch 201/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0673 - accuracy: 0.9670\n","Epoch 202/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0590 - accuracy: 0.9758\n","Epoch 203/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0883 - accuracy: 0.9538\n","Epoch 204/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0566 - accuracy: 0.9758\n","Epoch 205/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0558 - accuracy: 0.9758\n","Epoch 206/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0764 - accuracy: 0.9714\n","Epoch 207/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0896 - accuracy: 0.9758\n","Epoch 208/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1164 - accuracy: 0.9495\n","Epoch 209/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0618 - accuracy: 0.9736\n","Epoch 210/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0561 - accuracy: 0.9758\n","Epoch 211/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1033 - accuracy: 0.9538\n","Epoch 212/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0787 - accuracy: 0.9670\n","Epoch 213/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0676 - accuracy: 0.9714\n","Epoch 214/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1078 - accuracy: 0.9560\n","Epoch 215/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0951 - accuracy: 0.9538\n","Epoch 216/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0732 - accuracy: 0.9736\n","Epoch 217/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1134 - accuracy: 0.9495\n","Epoch 218/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0824 - accuracy: 0.9604\n","Epoch 219/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0660 - accuracy: 0.9692\n","Epoch 220/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1035 - accuracy: 0.9538\n","Epoch 221/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0796 - accuracy: 0.9648\n","Epoch 222/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0636 - accuracy: 0.9758\n","Epoch 223/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0641 - accuracy: 0.9780\n","Epoch 224/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0794 - accuracy: 0.9604\n","Epoch 225/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0962 - accuracy: 0.9560\n","Epoch 226/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0748 - accuracy: 0.9626\n","Epoch 227/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0639 - accuracy: 0.9714\n","Epoch 228/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0772 - accuracy: 0.9648\n","Epoch 229/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0568 - accuracy: 0.9736\n","Epoch 230/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0688 - accuracy: 0.9648\n","Epoch 231/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0669 - accuracy: 0.9692\n","Epoch 232/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0708 - accuracy: 0.9692\n","Epoch 233/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0602 - accuracy: 0.9758\n","Epoch 234/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0634 - accuracy: 0.9714\n","Epoch 235/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0650 - accuracy: 0.9692\n","Epoch 236/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0642 - accuracy: 0.9780\n","Epoch 237/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0668 - accuracy: 0.9714\n","Epoch 238/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0679 - accuracy: 0.9736\n","Epoch 239/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1424 - accuracy: 0.9407\n","Epoch 240/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0667 - accuracy: 0.9626\n","Epoch 241/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0728 - accuracy: 0.9692\n","Epoch 242/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0733 - accuracy: 0.9670\n","Epoch 243/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0837 - accuracy: 0.9538\n","Epoch 244/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0642 - accuracy: 0.9736\n","Epoch 245/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0806 - accuracy: 0.9604\n","Epoch 246/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0820 - accuracy: 0.9626\n","Epoch 247/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0655 - accuracy: 0.9648\n","Epoch 248/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0836 - accuracy: 0.9560\n","Epoch 249/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0914 - accuracy: 0.9670\n","Epoch 250/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0814 - accuracy: 0.9736\n","Epoch 251/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0642 - accuracy: 0.9758\n","Epoch 252/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0586 - accuracy: 0.9824\n","Epoch 253/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0674 - accuracy: 0.9670\n","Epoch 254/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0652 - accuracy: 0.9648\n","Epoch 255/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0585 - accuracy: 0.9736\n","Epoch 256/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0636 - accuracy: 0.9692\n","Epoch 257/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0543 - accuracy: 0.9714\n","Epoch 258/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0670 - accuracy: 0.9670\n","Epoch 259/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0558 - accuracy: 0.9758\n","Epoch 260/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0575 - accuracy: 0.9736\n","Epoch 261/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0775 - accuracy: 0.9714\n","Epoch 262/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0906 - accuracy: 0.9626\n","Epoch 263/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0573 - accuracy: 0.9758\n","Epoch 264/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0632 - accuracy: 0.9758\n","Epoch 265/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0592 - accuracy: 0.9670\n","Epoch 266/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0624 - accuracy: 0.9670\n","Epoch 267/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0784 - accuracy: 0.9736\n","Epoch 268/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0802 - accuracy: 0.9582\n","Epoch 269/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0769 - accuracy: 0.9582\n","Epoch 270/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0743 - accuracy: 0.9648\n","Epoch 271/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0592 - accuracy: 0.9714\n","Epoch 272/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0532 - accuracy: 0.9736\n","Epoch 273/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0538 - accuracy: 0.9758\n","Epoch 274/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0594 - accuracy: 0.9736\n","Epoch 275/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0811 - accuracy: 0.9626\n","Epoch 276/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0729 - accuracy: 0.9802\n","Epoch 277/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0658 - accuracy: 0.9626\n","Epoch 278/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0911 - accuracy: 0.9648\n","Epoch 279/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0808 - accuracy: 0.9736\n","Epoch 280/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.1121 - accuracy: 0.9626\n","Epoch 281/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1039 - accuracy: 0.9560\n","Epoch 282/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0841 - accuracy: 0.9692\n","Epoch 283/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0810 - accuracy: 0.9692\n","Epoch 284/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.1463 - accuracy: 0.9407\n","Epoch 285/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1243 - accuracy: 0.9538\n","Epoch 286/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0635 - accuracy: 0.9736\n","Epoch 287/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0659 - accuracy: 0.9692\n","Epoch 288/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0604 - accuracy: 0.9736\n","Epoch 289/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0806 - accuracy: 0.9626\n","Epoch 290/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0690 - accuracy: 0.9758\n","Epoch 291/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0672 - accuracy: 0.9648\n","Epoch 292/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0681 - accuracy: 0.9670\n","Epoch 293/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0599 - accuracy: 0.9670\n","Epoch 294/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0621 - accuracy: 0.9648\n","Epoch 295/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0956 - accuracy: 0.9626\n","Epoch 296/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0790 - accuracy: 0.9692\n","Epoch 297/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0882 - accuracy: 0.9670\n","Epoch 298/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0649 - accuracy: 0.9670\n","Epoch 299/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0785 - accuracy: 0.9604\n","Epoch 300/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0672 - accuracy: 0.9692\n","Epoch 301/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0740 - accuracy: 0.9670\n","Epoch 302/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0691 - accuracy: 0.9670\n","Epoch 303/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1234 - accuracy: 0.9407\n","Epoch 304/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0868 - accuracy: 0.9626\n","Epoch 305/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0632 - accuracy: 0.9692\n","Epoch 306/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1112 - accuracy: 0.9560\n","Epoch 307/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0913 - accuracy: 0.9670\n","Epoch 308/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0746 - accuracy: 0.9736\n","Epoch 309/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0846 - accuracy: 0.9626\n","Epoch 310/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.2077 - accuracy: 0.9187\n","Epoch 311/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1308 - accuracy: 0.9363\n","Epoch 312/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0726 - accuracy: 0.9670\n","Epoch 313/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0751 - accuracy: 0.9670\n","Epoch 314/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0599 - accuracy: 0.9758\n","Epoch 315/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0578 - accuracy: 0.9758\n","Epoch 316/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0739 - accuracy: 0.9670\n","Epoch 317/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0674 - accuracy: 0.9736\n","Epoch 318/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0992 - accuracy: 0.9582\n","Epoch 319/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0733 - accuracy: 0.9692\n","Epoch 320/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0547 - accuracy: 0.9670\n","Epoch 321/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0764 - accuracy: 0.9692\n","Epoch 322/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0565 - accuracy: 0.9692\n","Epoch 323/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0567 - accuracy: 0.9758\n","Epoch 324/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0626 - accuracy: 0.9758\n","Epoch 325/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0988 - accuracy: 0.9538\n","Epoch 326/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0866 - accuracy: 0.9604\n","Epoch 327/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0776 - accuracy: 0.9692\n","Epoch 328/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0966 - accuracy: 0.9648\n","Epoch 329/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0811 - accuracy: 0.9670\n","Epoch 330/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0911 - accuracy: 0.9626\n","Epoch 331/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0658 - accuracy: 0.9714\n","Epoch 332/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0620 - accuracy: 0.9758\n","Epoch 333/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0602 - accuracy: 0.9714\n","Epoch 334/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0764 - accuracy: 0.9626\n","Epoch 335/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0933 - accuracy: 0.9560\n","Epoch 336/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0751 - accuracy: 0.9692\n","Epoch 337/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0794 - accuracy: 0.9692\n","Epoch 338/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0598 - accuracy: 0.9648\n","Epoch 339/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0589 - accuracy: 0.9714\n","Epoch 340/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0726 - accuracy: 0.9648\n","Epoch 341/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0763 - accuracy: 0.9736\n","Epoch 342/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0770 - accuracy: 0.9714\n","Epoch 343/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0793 - accuracy: 0.9692\n","Epoch 344/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1106 - accuracy: 0.9538\n","Epoch 345/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0724 - accuracy: 0.9714\n","Epoch 346/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0621 - accuracy: 0.9736\n","Epoch 347/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0679 - accuracy: 0.9736\n","Epoch 348/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0877 - accuracy: 0.9604\n","Epoch 349/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0613 - accuracy: 0.9692\n","Epoch 350/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0637 - accuracy: 0.9692\n","Epoch 351/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0618 - accuracy: 0.9692\n","Epoch 352/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0535 - accuracy: 0.9714\n","Epoch 353/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0552 - accuracy: 0.9670\n","Epoch 354/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0592 - accuracy: 0.9758\n","Epoch 355/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0592 - accuracy: 0.9736\n","Epoch 356/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0593 - accuracy: 0.9758\n","Epoch 357/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0702 - accuracy: 0.9648\n","Epoch 358/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0673 - accuracy: 0.9670\n","Epoch 359/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1295 - accuracy: 0.9385\n","Epoch 360/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0866 - accuracy: 0.9692\n","Epoch 361/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0883 - accuracy: 0.9692\n","Epoch 362/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0693 - accuracy: 0.9736\n","Epoch 363/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0566 - accuracy: 0.9802\n","Epoch 364/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0620 - accuracy: 0.9714\n","Epoch 365/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0537 - accuracy: 0.9780\n","Epoch 366/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0502 - accuracy: 0.9736\n","Epoch 367/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0551 - accuracy: 0.9714\n","Epoch 368/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0542 - accuracy: 0.9648\n","Epoch 369/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0577 - accuracy: 0.9692\n","Epoch 370/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0608 - accuracy: 0.9692\n","Epoch 371/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0823 - accuracy: 0.9582\n","Epoch 372/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0709 - accuracy: 0.9714\n","Epoch 373/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1668 - accuracy: 0.9451\n","Epoch 374/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0943 - accuracy: 0.9648\n","Epoch 375/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0909 - accuracy: 0.9714\n","Epoch 376/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0748 - accuracy: 0.9670\n","Epoch 377/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0710 - accuracy: 0.9714\n","Epoch 378/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0994 - accuracy: 0.9604\n","Epoch 379/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0661 - accuracy: 0.9736\n","Epoch 380/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0770 - accuracy: 0.9692\n","Epoch 381/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0626 - accuracy: 0.9780\n","Epoch 382/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0785 - accuracy: 0.9670\n","Epoch 383/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0669 - accuracy: 0.9780\n","Epoch 384/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0728 - accuracy: 0.9626\n","Epoch 385/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0612 - accuracy: 0.9758\n","Epoch 386/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0772 - accuracy: 0.9692\n","Epoch 387/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0548 - accuracy: 0.9780\n","Epoch 388/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1221 - accuracy: 0.9516\n","Epoch 389/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0869 - accuracy: 0.9582\n","Epoch 390/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0781 - accuracy: 0.9648\n","Epoch 391/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1134 - accuracy: 0.9516\n","Epoch 392/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0864 - accuracy: 0.9692\n","Epoch 393/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0588 - accuracy: 0.9802\n","Epoch 394/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0692 - accuracy: 0.9692\n","Epoch 395/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0680 - accuracy: 0.9648\n","Epoch 396/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0913 - accuracy: 0.9560\n","Epoch 397/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1279 - accuracy: 0.9407\n","Epoch 398/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0782 - accuracy: 0.9714\n","Epoch 399/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0583 - accuracy: 0.9780\n","Epoch 400/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0680 - accuracy: 0.9626\n","Epoch 401/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0602 - accuracy: 0.9758\n","Epoch 402/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0748 - accuracy: 0.9736\n","Epoch 403/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0666 - accuracy: 0.9670\n","Epoch 404/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0575 - accuracy: 0.9714\n","Epoch 405/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0880 - accuracy: 0.9648\n","Epoch 406/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0751 - accuracy: 0.9648\n","Epoch 407/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0579 - accuracy: 0.9692\n","Epoch 408/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0585 - accuracy: 0.9758\n","Epoch 409/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0545 - accuracy: 0.9758\n","Epoch 410/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0569 - accuracy: 0.9714\n","Epoch 411/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0745 - accuracy: 0.9648\n","Epoch 412/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0623 - accuracy: 0.9736\n","Epoch 413/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0698 - accuracy: 0.9670\n","Epoch 414/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1853 - accuracy: 0.9319\n","Epoch 415/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1155 - accuracy: 0.9473\n","Epoch 416/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0791 - accuracy: 0.9692\n","Epoch 417/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0586 - accuracy: 0.9758\n","Epoch 418/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0688 - accuracy: 0.9736\n","Epoch 419/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1322 - accuracy: 0.9363\n","Epoch 420/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0607 - accuracy: 0.9692\n","Epoch 421/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0621 - accuracy: 0.9758\n","Epoch 422/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0630 - accuracy: 0.9692\n","Epoch 423/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0589 - accuracy: 0.9692\n","Epoch 424/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0634 - accuracy: 0.9714\n","Epoch 425/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0631 - accuracy: 0.9758\n","Epoch 426/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0696 - accuracy: 0.9692\n","Epoch 427/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0706 - accuracy: 0.9714\n","Epoch 428/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1182 - accuracy: 0.9560\n","Epoch 429/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0713 - accuracy: 0.9758\n","Epoch 430/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1074 - accuracy: 0.9473\n","Epoch 431/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0840 - accuracy: 0.9648\n","Epoch 432/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0618 - accuracy: 0.9736\n","Epoch 433/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0764 - accuracy: 0.9670\n","Epoch 434/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0622 - accuracy: 0.9736\n","Epoch 435/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0700 - accuracy: 0.9758\n","Epoch 436/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0608 - accuracy: 0.9714\n","Epoch 437/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0516 - accuracy: 0.9714\n","Epoch 438/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0731 - accuracy: 0.9648\n","Epoch 439/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0707 - accuracy: 0.9648\n","Epoch 440/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0718 - accuracy: 0.9648\n","Epoch 441/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1268 - accuracy: 0.9363\n","Epoch 442/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0805 - accuracy: 0.9626\n","Epoch 443/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0797 - accuracy: 0.9604\n","Epoch 444/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0622 - accuracy: 0.9714\n","Epoch 445/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0598 - accuracy: 0.9670\n","Epoch 446/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0783 - accuracy: 0.9648\n","Epoch 447/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0596 - accuracy: 0.9736\n","Epoch 448/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1507 - accuracy: 0.9341\n","Epoch 449/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0739 - accuracy: 0.9692\n","Epoch 450/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0845 - accuracy: 0.9692\n","Epoch 451/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0690 - accuracy: 0.9692\n","Epoch 452/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0985 - accuracy: 0.9604\n","Epoch 453/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1009 - accuracy: 0.9538\n","Epoch 454/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1354 - accuracy: 0.9495\n","Epoch 455/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1084 - accuracy: 0.9560\n","Epoch 456/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0669 - accuracy: 0.9758\n","Epoch 457/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0694 - accuracy: 0.9714\n","Epoch 458/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0680 - accuracy: 0.9780\n","Epoch 459/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0742 - accuracy: 0.9692\n","Epoch 460/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0573 - accuracy: 0.9736\n","Epoch 461/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0529 - accuracy: 0.9758\n","Epoch 462/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0466 - accuracy: 0.9824\n","Epoch 463/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0736 - accuracy: 0.9692\n","Epoch 464/1000\n","15/15 [==============================] - 0s 2ms/step - loss: 0.0690 - accuracy: 0.9736\n","Epoch 465/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0650 - accuracy: 0.9780\n","Epoch 466/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0562 - accuracy: 0.9736\n","Epoch 467/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0539 - accuracy: 0.9692\n","Epoch 468/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0735 - accuracy: 0.9714\n","Epoch 469/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0848 - accuracy: 0.9604\n","Epoch 470/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0952 - accuracy: 0.9670\n","Epoch 471/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0945 - accuracy: 0.9648\n","Epoch 472/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0697 - accuracy: 0.9736\n","Epoch 473/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0843 - accuracy: 0.9670\n","Epoch 474/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0611 - accuracy: 0.9846\n","Epoch 475/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0573 - accuracy: 0.9758\n","Epoch 476/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0637 - accuracy: 0.9736\n","Epoch 477/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0707 - accuracy: 0.9670\n","Epoch 478/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0493 - accuracy: 0.9824\n","Epoch 479/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0919 - accuracy: 0.9626\n","Epoch 480/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0791 - accuracy: 0.9604\n","Epoch 481/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0526 - accuracy: 0.9758\n","Epoch 482/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0560 - accuracy: 0.9758\n","Epoch 483/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0601 - accuracy: 0.9692\n","Epoch 484/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0542 - accuracy: 0.9780\n","Epoch 485/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0522 - accuracy: 0.9736\n","Epoch 486/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0731 - accuracy: 0.9648\n","Epoch 487/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0633 - accuracy: 0.9648\n","Epoch 488/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0917 - accuracy: 0.9560\n","Epoch 489/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1517 - accuracy: 0.9319\n","Epoch 490/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0871 - accuracy: 0.9736\n","Epoch 491/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0738 - accuracy: 0.9670\n","Epoch 492/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0699 - accuracy: 0.9714\n","Epoch 493/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0669 - accuracy: 0.9626\n","Epoch 494/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0661 - accuracy: 0.9802\n","Epoch 495/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0544 - accuracy: 0.9780\n","Epoch 496/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1237 - accuracy: 0.9516\n","Epoch 497/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.1120 - accuracy: 0.9451\n","Epoch 498/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0802 - accuracy: 0.9648\n","Epoch 499/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0615 - accuracy: 0.9714\n","Epoch 500/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0575 - accuracy: 0.9736\n","Epoch 501/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0696 - accuracy: 0.9736\n","Epoch 502/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0638 - accuracy: 0.9802\n","Epoch 503/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0626 - accuracy: 0.9780\n","Epoch 504/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0673 - accuracy: 0.9692\n","Epoch 505/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0495 - accuracy: 0.9780\n","Epoch 506/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0551 - accuracy: 0.9758\n","Epoch 507/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0626 - accuracy: 0.9714\n","Epoch 508/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0844 - accuracy: 0.9626\n","Epoch 509/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0569 - accuracy: 0.9758\n","Epoch 510/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0693 - accuracy: 0.9714\n","Epoch 511/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0580 - accuracy: 0.9780\n","Epoch 512/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0715 - accuracy: 0.9626\n","Epoch 513/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0500 - accuracy: 0.9802\n","Epoch 514/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0599 - accuracy: 0.9714\n","Epoch 515/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0629 - accuracy: 0.9714\n","Epoch 516/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0721 - accuracy: 0.9692\n","Epoch 517/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0594 - accuracy: 0.9692\n","Epoch 518/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0947 - accuracy: 0.9604\n","Epoch 519/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1848 - accuracy: 0.9121\n","Epoch 520/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1269 - accuracy: 0.9516\n","Epoch 521/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1370 - accuracy: 0.9495\n","Epoch 522/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1363 - accuracy: 0.9473\n","Epoch 523/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1257 - accuracy: 0.9560\n","Epoch 524/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1026 - accuracy: 0.9582\n","Epoch 525/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0758 - accuracy: 0.9736\n","Epoch 526/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0606 - accuracy: 0.9692\n","Epoch 527/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0618 - accuracy: 0.9736\n","Epoch 528/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1436 - accuracy: 0.9451\n","Epoch 529/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0783 - accuracy: 0.9670\n","Epoch 530/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0668 - accuracy: 0.9670\n","Epoch 531/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0647 - accuracy: 0.9714\n","Epoch 532/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0684 - accuracy: 0.9626\n","Epoch 533/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0556 - accuracy: 0.9802\n","Epoch 534/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0739 - accuracy: 0.9714\n","Epoch 535/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0627 - accuracy: 0.9648\n","Epoch 536/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0518 - accuracy: 0.9758\n","Epoch 537/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0526 - accuracy: 0.9802\n","Epoch 538/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0652 - accuracy: 0.9626\n","Epoch 539/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0562 - accuracy: 0.9736\n","Epoch 540/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0560 - accuracy: 0.9692\n","Epoch 541/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0715 - accuracy: 0.9648\n","Epoch 542/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0533 - accuracy: 0.9736\n","Epoch 543/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0757 - accuracy: 0.9582\n","Epoch 544/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0732 - accuracy: 0.9736\n","Epoch 545/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0601 - accuracy: 0.9736\n","Epoch 546/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0567 - accuracy: 0.9736\n","Epoch 547/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0568 - accuracy: 0.9758\n","Epoch 548/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0598 - accuracy: 0.9758\n","Epoch 549/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0781 - accuracy: 0.9692\n","Epoch 550/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0894 - accuracy: 0.9648\n","Epoch 551/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1121 - accuracy: 0.9582\n","Epoch 552/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0808 - accuracy: 0.9736\n","Epoch 553/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0685 - accuracy: 0.9670\n","Epoch 554/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0576 - accuracy: 0.9824\n","Epoch 555/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0628 - accuracy: 0.9780\n","Epoch 556/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0607 - accuracy: 0.9802\n","Epoch 557/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0784 - accuracy: 0.9626\n","Epoch 558/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0829 - accuracy: 0.9670\n","Epoch 559/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0692 - accuracy: 0.9692\n","Epoch 560/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1051 - accuracy: 0.9604\n","Epoch 561/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0766 - accuracy: 0.9670\n","Epoch 562/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0589 - accuracy: 0.9670\n","Epoch 563/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0491 - accuracy: 0.9780\n","Epoch 564/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0538 - accuracy: 0.9802\n","Epoch 565/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0640 - accuracy: 0.9736\n","Epoch 566/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1029 - accuracy: 0.9626\n","Epoch 567/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0568 - accuracy: 0.9780\n","Epoch 568/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0782 - accuracy: 0.9714\n","Epoch 569/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0991 - accuracy: 0.9604\n","Epoch 570/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0825 - accuracy: 0.9604\n","Epoch 571/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0958 - accuracy: 0.9626\n","Epoch 572/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0754 - accuracy: 0.9714\n","Epoch 573/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0644 - accuracy: 0.9670\n","Epoch 574/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0558 - accuracy: 0.9780\n","Epoch 575/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0690 - accuracy: 0.9692\n","Epoch 576/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1241 - accuracy: 0.9538\n","Epoch 577/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0662 - accuracy: 0.9714\n","Epoch 578/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0588 - accuracy: 0.9714\n","Epoch 579/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0618 - accuracy: 0.9714\n","Epoch 580/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0640 - accuracy: 0.9692\n","Epoch 581/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0704 - accuracy: 0.9692\n","Epoch 582/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0928 - accuracy: 0.9692\n","Epoch 583/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0615 - accuracy: 0.9758\n","Epoch 584/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0568 - accuracy: 0.9736\n","Epoch 585/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0544 - accuracy: 0.9758\n","Epoch 586/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0594 - accuracy: 0.9736\n","Epoch 587/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0732 - accuracy: 0.9670\n","Epoch 588/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0596 - accuracy: 0.9648\n","Epoch 589/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0660 - accuracy: 0.9670\n","Epoch 590/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0484 - accuracy: 0.9758\n","Epoch 591/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0548 - accuracy: 0.9736\n","Epoch 592/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0555 - accuracy: 0.9736\n","Epoch 593/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0633 - accuracy: 0.9670\n","Epoch 594/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0599 - accuracy: 0.9758\n","Epoch 595/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0500 - accuracy: 0.9802\n","Epoch 596/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0490 - accuracy: 0.9736\n","Epoch 597/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0833 - accuracy: 0.9604\n","Epoch 598/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0461 - accuracy: 0.9824\n","Epoch 599/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0614 - accuracy: 0.9758\n","Epoch 600/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0855 - accuracy: 0.9626\n","Epoch 601/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0717 - accuracy: 0.9714\n","Epoch 602/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0724 - accuracy: 0.9692\n","Epoch 603/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0900 - accuracy: 0.9604\n","Epoch 604/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0712 - accuracy: 0.9714\n","Epoch 605/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0595 - accuracy: 0.9780\n","Epoch 606/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0549 - accuracy: 0.9824\n","Epoch 607/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0581 - accuracy: 0.9670\n","Epoch 608/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0732 - accuracy: 0.9714\n","Epoch 609/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1049 - accuracy: 0.9473\n","Epoch 610/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0758 - accuracy: 0.9736\n","Epoch 611/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0601 - accuracy: 0.9714\n","Epoch 612/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0512 - accuracy: 0.9780\n","Epoch 613/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0806 - accuracy: 0.9758\n","Epoch 614/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1893 - accuracy: 0.9363\n","Epoch 615/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1138 - accuracy: 0.9516\n","Epoch 616/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0887 - accuracy: 0.9626\n","Epoch 617/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0597 - accuracy: 0.9714\n","Epoch 618/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0599 - accuracy: 0.9758\n","Epoch 619/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0698 - accuracy: 0.9714\n","Epoch 620/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0535 - accuracy: 0.9692\n","Epoch 621/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0861 - accuracy: 0.9560\n","Epoch 622/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1158 - accuracy: 0.9495\n","Epoch 623/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0866 - accuracy: 0.9648\n","Epoch 624/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0639 - accuracy: 0.9714\n","Epoch 625/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0695 - accuracy: 0.9736\n","Epoch 626/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0573 - accuracy: 0.9736\n","Epoch 627/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0546 - accuracy: 0.9780\n","Epoch 628/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0542 - accuracy: 0.9780\n","Epoch 629/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0665 - accuracy: 0.9670\n","Epoch 630/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0732 - accuracy: 0.9714\n","Epoch 631/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0592 - accuracy: 0.9736\n","Epoch 632/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0549 - accuracy: 0.9758\n","Epoch 633/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0568 - accuracy: 0.9780\n","Epoch 634/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0521 - accuracy: 0.9736\n","Epoch 635/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0706 - accuracy: 0.9626\n","Epoch 636/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0577 - accuracy: 0.9736\n","Epoch 637/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0769 - accuracy: 0.9626\n","Epoch 638/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0545 - accuracy: 0.9780\n","Epoch 639/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0526 - accuracy: 0.9736\n","Epoch 640/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0508 - accuracy: 0.9802\n","Epoch 641/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0673 - accuracy: 0.9648\n","Epoch 642/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0589 - accuracy: 0.9714\n","Epoch 643/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0662 - accuracy: 0.9648\n","Epoch 644/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0552 - accuracy: 0.9780\n","Epoch 645/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0509 - accuracy: 0.9780\n","Epoch 646/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0541 - accuracy: 0.9780\n","Epoch 647/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0606 - accuracy: 0.9758\n","Epoch 648/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0635 - accuracy: 0.9736\n","Epoch 649/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0994 - accuracy: 0.9582\n","Epoch 650/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0610 - accuracy: 0.9758\n","Epoch 651/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0891 - accuracy: 0.9670\n","Epoch 652/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0915 - accuracy: 0.9648\n","Epoch 653/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0812 - accuracy: 0.9736\n","Epoch 654/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0618 - accuracy: 0.9758\n","Epoch 655/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0610 - accuracy: 0.9780\n","Epoch 656/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0779 - accuracy: 0.9604\n","Epoch 657/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0578 - accuracy: 0.9758\n","Epoch 658/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1808 - accuracy: 0.9363\n","Epoch 659/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1115 - accuracy: 0.9582\n","Epoch 660/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0842 - accuracy: 0.9692\n","Epoch 661/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0742 - accuracy: 0.9670\n","Epoch 662/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0605 - accuracy: 0.9780\n","Epoch 663/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0529 - accuracy: 0.9802\n","Epoch 664/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0603 - accuracy: 0.9714\n","Epoch 665/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0665 - accuracy: 0.9714\n","Epoch 666/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0688 - accuracy: 0.9670\n","Epoch 667/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0618 - accuracy: 0.9714\n","Epoch 668/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0737 - accuracy: 0.9692\n","Epoch 669/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0598 - accuracy: 0.9780\n","Epoch 670/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0663 - accuracy: 0.9736\n","Epoch 671/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0538 - accuracy: 0.9714\n","Epoch 672/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0456 - accuracy: 0.9780\n","Epoch 673/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0489 - accuracy: 0.9758\n","Epoch 674/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0639 - accuracy: 0.9714\n","Epoch 675/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0623 - accuracy: 0.9692\n","Epoch 676/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0868 - accuracy: 0.9626\n","Epoch 677/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0992 - accuracy: 0.9560\n","Epoch 678/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0915 - accuracy: 0.9604\n","Epoch 679/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0811 - accuracy: 0.9670\n","Epoch 680/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0733 - accuracy: 0.9692\n","Epoch 681/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0622 - accuracy: 0.9802\n","Epoch 682/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1424 - accuracy: 0.9516\n","Epoch 683/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0830 - accuracy: 0.9604\n","Epoch 684/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0694 - accuracy: 0.9670\n","Epoch 685/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0630 - accuracy: 0.9692\n","Epoch 686/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0592 - accuracy: 0.9736\n","Epoch 687/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0518 - accuracy: 0.9758\n","Epoch 688/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0485 - accuracy: 0.9758\n","Epoch 689/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0599 - accuracy: 0.9692\n","Epoch 690/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0598 - accuracy: 0.9714\n","Epoch 691/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.2591 - accuracy: 0.8923\n","Epoch 692/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1590 - accuracy: 0.9319\n","Epoch 693/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0927 - accuracy: 0.9626\n","Epoch 694/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0942 - accuracy: 0.9582\n","Epoch 695/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0745 - accuracy: 0.9604\n","Epoch 696/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0649 - accuracy: 0.9692\n","Epoch 697/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0647 - accuracy: 0.9736\n","Epoch 698/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0623 - accuracy: 0.9714\n","Epoch 699/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0959 - accuracy: 0.9582\n","Epoch 700/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0974 - accuracy: 0.9626\n","Epoch 701/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0696 - accuracy: 0.9692\n","Epoch 702/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0558 - accuracy: 0.9824\n","Epoch 703/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0764 - accuracy: 0.9670\n","Epoch 704/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0863 - accuracy: 0.9626\n","Epoch 705/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0731 - accuracy: 0.9736\n","Epoch 706/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0578 - accuracy: 0.9758\n","Epoch 707/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0552 - accuracy: 0.9802\n","Epoch 708/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0606 - accuracy: 0.9670\n","Epoch 709/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0504 - accuracy: 0.9758\n","Epoch 710/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0519 - accuracy: 0.9736\n","Epoch 711/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0488 - accuracy: 0.9802\n","Epoch 712/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1305 - accuracy: 0.9429\n","Epoch 713/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0997 - accuracy: 0.9582\n","Epoch 714/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0808 - accuracy: 0.9670\n","Epoch 715/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0723 - accuracy: 0.9714\n","Epoch 716/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0584 - accuracy: 0.9758\n","Epoch 717/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0598 - accuracy: 0.9736\n","Epoch 718/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0610 - accuracy: 0.9736\n","Epoch 719/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0545 - accuracy: 0.9802\n","Epoch 720/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0503 - accuracy: 0.9802\n","Epoch 721/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0682 - accuracy: 0.9670\n","Epoch 722/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0628 - accuracy: 0.9692\n","Epoch 723/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0656 - accuracy: 0.9692\n","Epoch 724/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0547 - accuracy: 0.9714\n","Epoch 725/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0728 - accuracy: 0.9626\n","Epoch 726/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0545 - accuracy: 0.9736\n","Epoch 727/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0696 - accuracy: 0.9758\n","Epoch 728/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0539 - accuracy: 0.9758\n","Epoch 729/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0736 - accuracy: 0.9648\n","Epoch 730/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0686 - accuracy: 0.9736\n","Epoch 731/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0777 - accuracy: 0.9692\n","Epoch 732/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0622 - accuracy: 0.9736\n","Epoch 733/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0561 - accuracy: 0.9736\n","Epoch 734/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0576 - accuracy: 0.9714\n","Epoch 735/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0539 - accuracy: 0.9758\n","Epoch 736/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0652 - accuracy: 0.9692\n","Epoch 737/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0616 - accuracy: 0.9670\n","Epoch 738/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0678 - accuracy: 0.9670\n","Epoch 739/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0699 - accuracy: 0.9736\n","Epoch 740/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0639 - accuracy: 0.9736\n","Epoch 741/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0617 - accuracy: 0.9692\n","Epoch 742/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0624 - accuracy: 0.9714\n","Epoch 743/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0615 - accuracy: 0.9736\n","Epoch 744/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0568 - accuracy: 0.9758\n","Epoch 745/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0561 - accuracy: 0.9692\n","Epoch 746/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1082 - accuracy: 0.9560\n","Epoch 747/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0945 - accuracy: 0.9560\n","Epoch 748/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0611 - accuracy: 0.9758\n","Epoch 749/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0674 - accuracy: 0.9736\n","Epoch 750/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0515 - accuracy: 0.9758\n","Epoch 751/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0621 - accuracy: 0.9758\n","Epoch 752/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0724 - accuracy: 0.9626\n","Epoch 753/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0573 - accuracy: 0.9780\n","Epoch 754/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0499 - accuracy: 0.9758\n","Epoch 755/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0488 - accuracy: 0.9802\n","Epoch 756/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0726 - accuracy: 0.9736\n","Epoch 757/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1265 - accuracy: 0.9473\n","Epoch 758/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0780 - accuracy: 0.9692\n","Epoch 759/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0666 - accuracy: 0.9736\n","Epoch 760/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0743 - accuracy: 0.9670\n","Epoch 761/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0689 - accuracy: 0.9648\n","Epoch 762/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0522 - accuracy: 0.9824\n","Epoch 763/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0586 - accuracy: 0.9670\n","Epoch 764/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0585 - accuracy: 0.9736\n","Epoch 765/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0932 - accuracy: 0.9604\n","Epoch 766/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0871 - accuracy: 0.9582\n","Epoch 767/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0925 - accuracy: 0.9538\n","Epoch 768/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0603 - accuracy: 0.9758\n","Epoch 769/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0524 - accuracy: 0.9802\n","Epoch 770/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0769 - accuracy: 0.9692\n","Epoch 771/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0516 - accuracy: 0.9736\n","Epoch 772/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1097 - accuracy: 0.9495\n","Epoch 773/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0571 - accuracy: 0.9758\n","Epoch 774/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0889 - accuracy: 0.9670\n","Epoch 775/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0534 - accuracy: 0.9758\n","Epoch 776/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0562 - accuracy: 0.9758\n","Epoch 777/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0670 - accuracy: 0.9736\n","Epoch 778/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0679 - accuracy: 0.9736\n","Epoch 779/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0738 - accuracy: 0.9692\n","Epoch 780/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0576 - accuracy: 0.9758\n","Epoch 781/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0740 - accuracy: 0.9692\n","Epoch 782/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0611 - accuracy: 0.9758\n","Epoch 783/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0503 - accuracy: 0.9758\n","Epoch 784/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0536 - accuracy: 0.9758\n","Epoch 785/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0635 - accuracy: 0.9736\n","Epoch 786/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0447 - accuracy: 0.9714\n","Epoch 787/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0631 - accuracy: 0.9670\n","Epoch 788/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0468 - accuracy: 0.9758\n","Epoch 789/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0641 - accuracy: 0.9670\n","Epoch 790/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0748 - accuracy: 0.9648\n","Epoch 791/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0652 - accuracy: 0.9692\n","Epoch 792/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0555 - accuracy: 0.9714\n","Epoch 793/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0826 - accuracy: 0.9604\n","Epoch 794/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0831 - accuracy: 0.9670\n","Epoch 795/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0976 - accuracy: 0.9604\n","Epoch 796/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0880 - accuracy: 0.9626\n","Epoch 797/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0576 - accuracy: 0.9736\n","Epoch 798/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0728 - accuracy: 0.9714\n","Epoch 799/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0589 - accuracy: 0.9714\n","Epoch 800/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0778 - accuracy: 0.9604\n","Epoch 801/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0930 - accuracy: 0.9560\n","Epoch 802/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0686 - accuracy: 0.9714\n","Epoch 803/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1083 - accuracy: 0.9560\n","Epoch 804/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1057 - accuracy: 0.9582\n","Epoch 805/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0774 - accuracy: 0.9648\n","Epoch 806/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0631 - accuracy: 0.9692\n","Epoch 807/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0545 - accuracy: 0.9736\n","Epoch 808/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0506 - accuracy: 0.9758\n","Epoch 809/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0727 - accuracy: 0.9670\n","Epoch 810/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0493 - accuracy: 0.9758\n","Epoch 811/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0573 - accuracy: 0.9758\n","Epoch 812/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0710 - accuracy: 0.9648\n","Epoch 813/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0671 - accuracy: 0.9780\n","Epoch 814/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0539 - accuracy: 0.9758\n","Epoch 815/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0510 - accuracy: 0.9780\n","Epoch 816/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1693 - accuracy: 0.9363\n","Epoch 817/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1898 - accuracy: 0.9297\n","Epoch 818/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1828 - accuracy: 0.9385\n","Epoch 819/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1929 - accuracy: 0.9187\n","Epoch 820/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1013 - accuracy: 0.9538\n","Epoch 821/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0814 - accuracy: 0.9648\n","Epoch 822/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0612 - accuracy: 0.9758\n","Epoch 823/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0552 - accuracy: 0.9780\n","Epoch 824/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0623 - accuracy: 0.9736\n","Epoch 825/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0675 - accuracy: 0.9692\n","Epoch 826/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0829 - accuracy: 0.9604\n","Epoch 827/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0570 - accuracy: 0.9736\n","Epoch 828/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0534 - accuracy: 0.9692\n","Epoch 829/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0616 - accuracy: 0.9714\n","Epoch 830/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0704 - accuracy: 0.9670\n","Epoch 831/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0952 - accuracy: 0.9582\n","Epoch 832/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1076 - accuracy: 0.9516\n","Epoch 833/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0643 - accuracy: 0.9736\n","Epoch 834/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0598 - accuracy: 0.9758\n","Epoch 835/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0620 - accuracy: 0.9692\n","Epoch 836/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0669 - accuracy: 0.9648\n","Epoch 837/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0787 - accuracy: 0.9604\n","Epoch 838/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0640 - accuracy: 0.9714\n","Epoch 839/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0744 - accuracy: 0.9670\n","Epoch 840/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0968 - accuracy: 0.9582\n","Epoch 841/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0638 - accuracy: 0.9714\n","Epoch 842/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0563 - accuracy: 0.9714\n","Epoch 843/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0556 - accuracy: 0.9780\n","Epoch 844/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0528 - accuracy: 0.9714\n","Epoch 845/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0630 - accuracy: 0.9736\n","Epoch 846/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0555 - accuracy: 0.9714\n","Epoch 847/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0748 - accuracy: 0.9582\n","Epoch 848/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1185 - accuracy: 0.9473\n","Epoch 849/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0696 - accuracy: 0.9736\n","Epoch 850/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0743 - accuracy: 0.9670\n","Epoch 851/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1030 - accuracy: 0.9582\n","Epoch 852/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0666 - accuracy: 0.9736\n","Epoch 853/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0504 - accuracy: 0.9802\n","Epoch 854/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0594 - accuracy: 0.9714\n","Epoch 855/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0745 - accuracy: 0.9648\n","Epoch 856/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0712 - accuracy: 0.9626\n","Epoch 857/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0530 - accuracy: 0.9846\n","Epoch 858/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0514 - accuracy: 0.9758\n","Epoch 859/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0502 - accuracy: 0.9780\n","Epoch 860/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0506 - accuracy: 0.9780\n","Epoch 861/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0498 - accuracy: 0.9758\n","Epoch 862/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0552 - accuracy: 0.9758\n","Epoch 863/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0540 - accuracy: 0.9758\n","Epoch 864/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0682 - accuracy: 0.9714\n","Epoch 865/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0592 - accuracy: 0.9714\n","Epoch 866/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0739 - accuracy: 0.9670\n","Epoch 867/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.1035 - accuracy: 0.9604\n","Epoch 868/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1024 - accuracy: 0.9604\n","Epoch 869/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0609 - accuracy: 0.9780\n","Epoch 870/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0647 - accuracy: 0.9714\n","Epoch 871/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0558 - accuracy: 0.9692\n","Epoch 872/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0600 - accuracy: 0.9692\n","Epoch 873/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0650 - accuracy: 0.9714\n","Epoch 874/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0595 - accuracy: 0.9780\n","Epoch 875/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1365 - accuracy: 0.9319\n","Epoch 876/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1323 - accuracy: 0.9429\n","Epoch 877/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1595 - accuracy: 0.9319\n","Epoch 878/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0722 - accuracy: 0.9670\n","Epoch 879/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0728 - accuracy: 0.9648\n","Epoch 880/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0658 - accuracy: 0.9670\n","Epoch 881/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0550 - accuracy: 0.9758\n","Epoch 882/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1324 - accuracy: 0.9516\n","Epoch 883/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0864 - accuracy: 0.9670\n","Epoch 884/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0703 - accuracy: 0.9736\n","Epoch 885/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0485 - accuracy: 0.9780\n","Epoch 886/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0512 - accuracy: 0.9736\n","Epoch 887/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0626 - accuracy: 0.9714\n","Epoch 888/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0594 - accuracy: 0.9736\n","Epoch 889/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0441 - accuracy: 0.9780\n","Epoch 890/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0727 - accuracy: 0.9758\n","Epoch 891/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0550 - accuracy: 0.9714\n","Epoch 892/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0501 - accuracy: 0.9780\n","Epoch 893/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0538 - accuracy: 0.9714\n","Epoch 894/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0453 - accuracy: 0.9758\n","Epoch 895/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0532 - accuracy: 0.9758\n","Epoch 896/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0647 - accuracy: 0.9626\n","Epoch 897/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0502 - accuracy: 0.9802\n","Epoch 898/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0559 - accuracy: 0.9758\n","Epoch 899/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0849 - accuracy: 0.9538\n","Epoch 900/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0642 - accuracy: 0.9758\n","Epoch 901/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0593 - accuracy: 0.9692\n","Epoch 902/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1342 - accuracy: 0.9363\n","Epoch 903/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0766 - accuracy: 0.9626\n","Epoch 904/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0744 - accuracy: 0.9736\n","Epoch 905/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0824 - accuracy: 0.9648\n","Epoch 906/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0569 - accuracy: 0.9714\n","Epoch 907/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0506 - accuracy: 0.9758\n","Epoch 908/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0488 - accuracy: 0.9736\n","Epoch 909/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0589 - accuracy: 0.9714\n","Epoch 910/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0737 - accuracy: 0.9692\n","Epoch 911/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0525 - accuracy: 0.9780\n","Epoch 912/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0512 - accuracy: 0.9736\n","Epoch 913/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0709 - accuracy: 0.9692\n","Epoch 914/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0542 - accuracy: 0.9714\n","Epoch 915/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0719 - accuracy: 0.9714\n","Epoch 916/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0901 - accuracy: 0.9670\n","Epoch 917/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0768 - accuracy: 0.9736\n","Epoch 918/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0740 - accuracy: 0.9670\n","Epoch 919/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0655 - accuracy: 0.9758\n","Epoch 920/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0535 - accuracy: 0.9714\n","Epoch 921/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0707 - accuracy: 0.9736\n","Epoch 922/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0546 - accuracy: 0.9824\n","Epoch 923/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0478 - accuracy: 0.9846\n","Epoch 924/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0731 - accuracy: 0.9692\n","Epoch 925/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0518 - accuracy: 0.9692\n","Epoch 926/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0648 - accuracy: 0.9670\n","Epoch 927/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0664 - accuracy: 0.9714\n","Epoch 928/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0505 - accuracy: 0.9758\n","Epoch 929/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0565 - accuracy: 0.9736\n","Epoch 930/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0496 - accuracy: 0.9758\n","Epoch 931/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0450 - accuracy: 0.9802\n","Epoch 932/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1125 - accuracy: 0.9473\n","Epoch 933/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1084 - accuracy: 0.9538\n","Epoch 934/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.1070 - accuracy: 0.9516\n","Epoch 935/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0996 - accuracy: 0.9692\n","Epoch 936/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1103 - accuracy: 0.9670\n","Epoch 937/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0732 - accuracy: 0.9736\n","Epoch 938/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0642 - accuracy: 0.9736\n","Epoch 939/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0634 - accuracy: 0.9736\n","Epoch 940/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0567 - accuracy: 0.9780\n","Epoch 941/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0457 - accuracy: 0.9780\n","Epoch 942/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0630 - accuracy: 0.9692\n","Epoch 943/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0580 - accuracy: 0.9758\n","Epoch 944/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0560 - accuracy: 0.9736\n","Epoch 945/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0650 - accuracy: 0.9692\n","Epoch 946/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0497 - accuracy: 0.9758\n","Epoch 947/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0506 - accuracy: 0.9714\n","Epoch 948/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0619 - accuracy: 0.9648\n","Epoch 949/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.1396 - accuracy: 0.9495\n","Epoch 950/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0779 - accuracy: 0.9648\n","Epoch 951/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.1020 - accuracy: 0.9626\n","Epoch 952/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.1206 - accuracy: 0.9473\n","Epoch 953/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0810 - accuracy: 0.9692\n","Epoch 954/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0952 - accuracy: 0.9626\n","Epoch 955/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0535 - accuracy: 0.9780\n","Epoch 956/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0497 - accuracy: 0.9802\n","Epoch 957/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0493 - accuracy: 0.9758\n","Epoch 958/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0579 - accuracy: 0.9714\n","Epoch 959/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0613 - accuracy: 0.9758\n","Epoch 960/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0557 - accuracy: 0.9692\n","Epoch 961/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0531 - accuracy: 0.9758\n","Epoch 962/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0570 - accuracy: 0.9692\n","Epoch 963/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0509 - accuracy: 0.9780\n","Epoch 964/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0683 - accuracy: 0.9670\n","Epoch 965/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0524 - accuracy: 0.9714\n","Epoch 966/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0599 - accuracy: 0.9780\n","Epoch 967/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0749 - accuracy: 0.9692\n","Epoch 968/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0519 - accuracy: 0.9758\n","Epoch 969/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0546 - accuracy: 0.9802\n","Epoch 970/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0602 - accuracy: 0.9714\n","Epoch 971/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0733 - accuracy: 0.9670\n","Epoch 972/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0588 - accuracy: 0.9714\n","Epoch 973/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0462 - accuracy: 0.9758\n","Epoch 974/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0598 - accuracy: 0.9714\n","Epoch 975/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0512 - accuracy: 0.9824\n","Epoch 976/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0935 - accuracy: 0.9604\n","Epoch 977/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0994 - accuracy: 0.9538\n","Epoch 978/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0885 - accuracy: 0.9626\n","Epoch 979/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0627 - accuracy: 0.9736\n","Epoch 980/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0645 - accuracy: 0.9758\n","Epoch 981/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0808 - accuracy: 0.9648\n","Epoch 982/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0614 - accuracy: 0.9736\n","Epoch 983/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0564 - accuracy: 0.9736\n","Epoch 984/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0615 - accuracy: 0.9692\n","Epoch 985/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0631 - accuracy: 0.9758\n","Epoch 986/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0610 - accuracy: 0.9714\n","Epoch 987/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0744 - accuracy: 0.9626\n","Epoch 988/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0831 - accuracy: 0.9516\n","Epoch 989/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0921 - accuracy: 0.9538\n","Epoch 990/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0809 - accuracy: 0.9604\n","Epoch 991/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0806 - accuracy: 0.9670\n","Epoch 992/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0553 - accuracy: 0.9802\n","Epoch 993/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0538 - accuracy: 0.9758\n","Epoch 994/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0521 - accuracy: 0.9736\n","Epoch 995/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0512 - accuracy: 0.9758\n","Epoch 996/1000\n","15/15 [==============================] - 0s 3ms/step - loss: 0.0443 - accuracy: 0.9692\n","Epoch 997/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0521 - accuracy: 0.9802\n","Epoch 998/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0668 - accuracy: 0.9714\n","Epoch 999/1000\n","15/15 [==============================] - 0s 5ms/step - loss: 0.0731 - accuracy: 0.9604\n","Epoch 1000/1000\n","15/15 [==============================] - 0s 4ms/step - loss: 0.0467 - accuracy: 0.9802\n"]},{"output_type":"execute_result","data":{"text/plain":["<keras.callbacks.History at 0x7f57b2aa26d0>"]},"metadata":{},"execution_count":14}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oOyAYh4wyyur","executionInfo":{"status":"ok","timestamp":1631794622382,"user_tz":-120,"elapsed":745,"user":{"displayName":"sipson wegner ngale","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjDT7hYQ6cTIlOSm4x-qbvwb0cHwuYY1gFHK9Ltgw=s64","userId":"05494696086424071090"}},"outputId":"056474e8-da70-4ef7-dc42-b50f9ab00f62"},"source":["model.evaluate(x_test, y_test)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["4/4 [==============================] - 0s 3ms/step - loss: 0.0996 - accuracy: 0.9649\n"]},{"output_type":"execute_result","data":{"text/plain":["[0.09958998113870621, 0.9649122953414917]"]},"metadata":{},"execution_count":15}]}]}