Variational autoencoders

To understand VAEs, let's talk about regular autoencoders first. An autoencoder is a feed-forward neural network that tries to reproduce its input. In other words, the target value (label) of an autoencoder is equal to the input data, yi = xi, where i is the sample index.We can formally say that it tries to learn an identity function, (a function that repeats its input). Since our "labels" are just the input data, the autoencoder is an unsupervised algorithm. The following diagram represents an autoencoder:

An autoencoder ...

Get Python Deep Learning - Second Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.