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This a lecture used in the [[Syllabus for Machine Learning 10-601B in Spring 2016]] === Slides === * [http://curtis.ml.cmu.edu/w/courses/images/a/a1/Anns-02-10.pdf Slides in pdf] * [http://curtis.ml.cmu.edu/w/courses/images/a/ae/Anns-02-10.pptx Slides in ppt] === Readings === * Mitchell: Ch. 4 * Bishop: Ch 5 === What You Should Know Afterward === * What multi-layer networks are and why they are useful. * The backpropagation algorithm, and what loss is associated with it. * Dealing with overfitting.

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