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 …

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