Deep Learning Fundamentals — Part Five

This is the Fifth part of the Deep Learning Fundamentals series, if you didn’t read the last parts, read them before reading this one, here are the links:

Deep Learning Fundamentals — Part One

Deep Learning Fundamentals — Part Two

Deep Learning Fundamentals — Part Three

Deep Learning Fundamentals — Part Four

In Last part, we talked about Vanishing Gradient which is a problem made it very hard to train deep neural networks. In this post, we going to talk about Restricted Boltzmann Machine, also known as the RBM, a model developed by Geoff Hinton at the University of Toronto which led to big breakthrough for training deep nets which help with the…