Autoencoding

The most basic autoencoder is an ordinary feedforward network that has a single hidden layer and is trained to reproduce its inputs. It’s a prediction model in which the targets are the inputs. The idea is that if the hidden layer is in some sense relatively weak (perhaps by virtue of having few neu... View More