machine learning

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Machine Learning

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Machine Learning

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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. 

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