LATENT SPACE REPRESENTATION

A HANDS-ON TUTORIAL ON AUTOENCODERS IN TENSORFLOW

This is a part-1 of the series of tutorials that I am writing on unsupervised/self-supervised learning using deep neural networks. This would cover the following topics:

·       Autoencoders

·       Variational Autoencoders

·       Generative Adversarial Networks

In this tutorial, the focus would be on latent space implementation using autoencoder architecture and its visualization using t-SNE embedding. Before we delve into code, lets define some important concepts which we will encounter throughout the tutorial.