Autoencoders

Autoencoder is a type of neural network that is trained to copy its input to its output. It means that the input is compressed into a latent space representation and then the output is tried to be reconstructed based on the representation. The autoencoder structure mainly consists of an encoder and a decoder. They are used in various applications and as a pre-training step while dealing with other neural networks.