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.