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This a lecture used in the [[Syllabus for Machine Learning 10-601B in Spring 2016]] === Slides === === Readings === * Mitchell: Ch. 4, Murphy Ch 16.5 === What You Should Know Afterward === * What functions can be expressed with multi-layer networks that a single layer cannot express * The backpropagation algorithm, and what loss is associated with it * In outline, how deep neural networks are trained

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