Theoretical Machine Learning

4.0 credits

This course provides a theoretical foundation for analyzing and understanding machine learning algorithms, with a particular focus on deep learning. Our discussions cover key factors for understanding the behaviors of classical learning algorithms and deep neural networks, including: 1. Approximation : When do neural networks have enough capacity to represent certain functions?