Autoencoders — Introduction and Implementation in TF.

Introduction and Concepts:Autoencoders (AE) are a family of neural networks for which the input is the same as the output (they implement a identity function). They work by compressing the input into a latent-space representation, and then reconstructing the output from this representation. A really popular use for autoencoders is to apply them to images. The trick is to replace fully connected la