Tomorrow we will meet at usual time ( 4:00 PM - 5:10 PM ) in KD 102. We will watch video lectures on Restricted Boltzmann Machine (Prof Hugo Larochelle) followed by 20 minute discussion for better understanding. Following are the topics we will be covering 1. Definition 2. Inference 3. Free energy 4. Contrastive divergence 5. Contrastive divergence (parameter update) 6. Persistent CD 7. Example 8. Extensions Only prerequisite required is basic maths (Prob-Stats) and preliminary understanding of Feed Forward Neural Nets.