An autoencoder learns to predict its input ... However, this isn't a principled approach because binary cross entropy loss is intended for binary classification problems. Additionally, binary cross ...

This is called dimensionality reduction. The two most common techniques for dimensionality reduction are using PCA (principal component analysis) and using a neural autoencoder. This article explains ...