Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

© Taweh Beysolow II 2017

Taweh Beysolow II, Introduction to Deep Learning Using R, https://doi.org/10.1007/978-1-4842-2734-3_7

7. Autoencoders, Restricted Boltzmann Machines, and Deep Belief Networks

Taweh Beysolow II¹ 

(1)San Francisco, California, USA

This chapter covers some of the newer and more advanced deep learning models that have been gaining popularity in the field. It is intended to help you understand some of the recent developments in the field of data science. To see how these models are applied in a practical context, see Chapters 10 and 11, where we will be utilizing these in practical examples.

Autoencoders

Prior to discussing restricted Boltzmann machines (RBMs) , I want to address a set of related algorithms . Autoencoders are known ...