Deep Learning, Autoencoder, Python Programming, Keras, Technology.
pure samples into a structure that TensorFlow/Keras can handle. That is, we increase the shape with another dimension to represent the number of channels, which in our case is just 1. Finally, we perform the split into training and testing data (30k test, 56+14 = 70k train): # Train/test split