An autoencoder is a neural network that predicts its own input. The diagram in Figure 3 shows the architecture of the 65-32-8-32-65 autoencoder used in the demo program. An input image x, with 65 ...

Implementing a deep autoencoder is possible but requires a lot of effort. A result from the Universal Approximation Theorem (sometimes called the Cybenko Theorem) states, loosely speaking, that a ...