Different types of autoencoder

The following are different types of autoencoder:

Let's briefly discuss autoencoders and the variants we have just seen. Please note that there are other variants out there; these are just probably the most common that I thought you should at least be familiar with.

Standard autoencoder

An autoencoder learns to compress data from the input layer into smaller code, and then uncompress that code into something that (hopefully) matches the original data. The basic idea behind a standard autoencoder is to encode information automatically, hence the name. The entire network always resembles an hourglass, in terms of its shape, with fewer hidden layers than input and output layers. Everything...