Deep Learning For Natural Language Processing

The Deep Learning for NLP course covers advanced topics in deep learning architectures for natural language processing.  The focus is on attention-based architectures (like Transformers), structure processing and variational-Bayesian approaches, and why these models are particularly suited to the properties of human language, such as categorical, unbounded, and structured representations.