Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)

AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

New and improved version of JARVIS with tensorflow and NLP.

Using machine learning and neural networks, created a binary classifier that is capable of predicting whether applicants will be successful if funded by Alphabet Soup

Лабораторная работа №4: Обучению первой модели на TensorFlow для распознавания рукописных цифр на датасете MNIST

Facial Recognition using Deep Convolutional Neural Networks

MNIST Fashion Classification using TensorFlow (2019 version). The dataset is taken from Kaggle (https://www.kaggle.com/zalando-research/fashionmnist).

ML + AI experiments with python, intended for Jupyter Notebooks (e.g. via Google Colab). Central source of personal language knowledge.

Image classifier using Python TensorFlow trained using a modified set of flower images from Kaggle

This code sets up and trains a GAN to generate artwork images using Keras and TensorFlow, defining and compiling discriminator and generator networks, and saving results.

Finding relationships between words

Object detection using an output inference graph of tensorflow

Convolutional Neural Network modules for target detection using Python/TensorFlow