Partial Bayesian Neural Networks: my course project for CSC 2516 (University of Toronto), the graduate in neural networks. In this project, I introduce a new neural network architectures that hybridizes Bayesian and non-Bayesian neural network architectures. Code
Bayesian Neural Networks: my course project for STA2101 (University of Toronto), the first graduate course in a two-course sequence on applied statistics. This project is an exploration and a mathematical reformulation of the paper Weight Uncertainty in Neural Networks. Furthermore, it served as a precursor to my next machine learning project, listed above.