Day: December 15, 2016

I still need more time in reading and understanding MCMC and RBM. However, I’d like to share some learning materials for everyone. Hope you could find these helpful.

• An Introduction to MCMC for Machine Learning
• Reducing the Dimensionality of Data with Neural Networks
• A fast learning algorithm for deep belief nets
• A Practical Guide to Training Restricted Boltzmann Machines
• An Introduction to Restricted Boltzmann Machines
• Training restricted Boltzmann machines: An introduction
• Sparse deep belief net model for visual area V2
• Classification using Discriminative Restricted Boltzmann Machines
• Learning Invariant Representations with Local Transformations
• Unsupervised feature learning and deep learning a review and new perspectives
• Relevant literature
• To be continued …