Building a convolutional neural network to classify images in the Zalando Research dataset, using Keras

In this section, we'll be building our convolutional neural network to classify images of clothing, using Zalando Research's fashion dataset. The repository for this dataset is available at https://github.com/zalandoresearch/fashion-mnist.

This dataset contains 70,000 grayscale images—each depicting an article of clothing—from 10 possible clothing articles. Specifically, the target classes are as follows: T-shirt/top, pants, sweater, dress, coat, sandal, shirt, sneaker, bag, and ankle boot.

Zalando, a Germany-based e-commerce company, released this dataset to provide researchers with an alternative to the classic MNIST dataset of handwritten ...

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