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Fashion-MNIST-Classification

This is a simple convoluation neural network using tensorflow to classify Fashion-MNIST dataset with 97.94% accuracy on training set and 91.56% accuracy on test set. The training set consists of 60k examples and test set consists of 10k examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes as mentioned below.

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

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