MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)
CNN Modeling on Fashion MNIST dataset. 80% Accuracy on three epochs.
Simple image classification of Fashion-MNIST dataset using TensorFlow mid level API
Building & Deploying Computer Vision Models
Item Classification with MNIST fashion dataset.
a repo for classifying mnist fashion dataset with cnn on pytorch
A small project to learn the concept behind autoencoders and how they can be used for denoising images without supervised learning
Classifying images with 93% accuracy.
An online convolutional neural network (CNN) model for classifying fashion items.
Examples for during the Summer Course ML/AI 101 organised by Codecentric
Small projects in image recognition using MobileNet, VGG16, YOLO.
Deploying a Neural Network on AWS SageMaker to predict images with the MNIST Fashion dataset.
Add a description, image, and links to the mnist-fashion topic page so that developers can more easily learn about it.
To associate your repository with the mnist-fashion topic, visit your repo's landing page and select "manage topics."