[For Detailed - Chapter-wise Deep learning tutorial - please visit (https://ai-leader.com/deep-learning/ )]
In this tutorial, I have discussed some important issues related to the training of Restricted Boltzmann Machine. The key terms discussed in this tutorial are: (1) Constructive divergence, (2) Gibbs Sampling, (3) Using Gibbs Sampling for training.
It also tries to explain some basic techniques, like: use of log likelihood, "Why traditional gradient based method is not useful for training of RBM?" and so on
