I tried to work on the Fashion MNIST dataset with close to 91% accuracy on test set provided in the dataset. I trained my model on Google Colab notebook. https://www.kaggle.com/zalando-research/fashionmnist/home
I used resnet 34 and then switched to resnet50. Then I probably over fitted it on resnet101.
idx2class = {
0: 'T-shirt/top',
1: 'Trouser',
2: 'Pullover',
3: 'Dress',
4: 'Coat',
5: 'Sandal',
6: 'Shirt',
7: 'Sneaker',
8: 'Bag',
9: 'Ankle boot'
}
Lot of scope of improvement. Please suggest changes and how can I improve my notebook.