In this chapter, we will cover the following topics:

• Comparing principal component analysis with the Restricted Boltzmann machine
• Setting up a Restricted Boltzmann machine for Bernoulli distribution input
• Training a Restricted Boltzmann machine
• Backward or reconstruction phase of RBM
• Understanding the contrastive divergence of the reconstruction
• Initializing and starting a new TensorFlow session
• Evaluating the output from an RBM
• Setting up a Restricted Boltzmann machine for Collaborative Filtering
• Performing a full run of training an RBM
• Setting up a Deep Belief Network
• Implementing a feed-forward backpropagation Neural Network
• Setting up a Deep Restricted Boltzmann Machine