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This week's Computer Vision homework has us reading through some ML papers. One of these is Adam: A Method for Stochastic Optimization Kingma & Ba (2015). Adam is a very widely used gradient descent optimization algorithm that comes as standard in lots of ML frameworks, though recently it's got some competition from the polar Muon algorithm. Reading the paper, I decided to quickly implement a…
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