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Lecture 4 discusses optimization algorithms that are used to minimize loss functions discussed in the previous lecture. We introduce the core algorithm of gradient descent, and contrast numeric and analytic approaches to computing gradients. We discuss extensions to the basic gradient descent algorithm including stochastic gradient descent (SGD ...
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