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 digits. Additionally, this dataset, which they call Fashion MNIST, is a bit more challenging to predict excellently...
