Basic AutoEncoders

implementation of various autoencoder

• Linear autoencoder
• simple autoencoder
• Deep Auroencoder

Denoising auroencoder

Variation autoencoder

This is a variation of autoencoder which is generative model. The main difference of variational autoencoder with regular autoencoder is that the encoder output is a mean vector and variance vector. Then it is used to generate latent vector which is passed to Decoder network