Machine Learning

My latest project in machine learning was to release a comprehensive lecture on the mathematics of neural networks, and specifically backpropagation. This 5-hour lecture covers prerequisite matrix calculus, manually calculating derivatives in a small network, and the rules of backpropagation and why they work. A syllabus of the lecture is available in the description of the YouTube video, with timestamps.