Image Classification with Fashion MNIST dataset in Python using CNN

By Siva Sankar U

To classify the images from the Fashion MNIST dataset in python using the Convolutional Neural Network

Fashion-MNIST is 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. We need to classify the images in these 10 classes using a Convolutional Neural Network.

The network consists of 3 blocks.
Each block will be having a convolutional layer and max-pooling.

The dataset can be obtained from the below-mentioned link.

Dataset - https://www.kaggle.com/sivasankaru/fashion-mnist-csv-files