About Fashion-MNIST A dataset of Zalando's article images consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Fashion-MNIST is intended to serve as a direct drop-in replacement of the original MNIST dataset for benchmarking machine learning algorithms.

Project repo :https://github.com/zalandoresearch/fashion-mnist

How to run : python3 fashion-mnist.py --cuda --batch-size 200 --epochs 25 --lr 0.1 --momentum 0.8

Current performance : Validation: accuracy=0.900500