Advanced deep learning is mainly focused on Boltzmann machine and its applications. Students are expected to have following mathematical and statistical background

• Computational Bayesian
  – Specifically Gibbs Sampling, Variational Inference
• Time Series
• Probabilistic Network
• Non-linear Factor Analysis

This courses covers recent developments in Neural Network applications in Natural Language Processing (NLP), image recognition, and sequential data processing.