An intro to machine learning and control theory course, with an unassuming departmental designation (physiology!) My favourite course I've ever taken – kickstarted my passion for machine learning. While quite theory-heavy, implications on biological systems were discussed in class. I took this course in the Winter semester of 2024.
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Project 1: Using control theory to get a two-jointed arm to track a moving target using Hurwitz desired dynamics
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Project 2:: Developing a convolutional neural network from scratch to classify handwritten digits from the MNIST dataset. Architecture features a skip connection for additional complexity with the backprop implementation
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Project 3:: Implementing a specified variant of the Deep-Deterministic Policy Gradient algoithm (reinforcement learning)