Fashion-mnist-classification

A deep laerning model for classification of fashion images into 10 classes

1. T-shirt/top
2. Trouser
3. Pullover
4. Dress
5. Coat
6. Sandal
7. Shirt
8. Sneaker
9. Bag
10. Ankle boot

The dataset is from kaggle (link).
It contains 60,000 28 x 28 gray scale images for training and 10,000 images for testing.
Some image samples

Validation accuracy achieved : 98.06%
some predictions:

the model architecture