10-601B Intro to Neural Networks
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Revision as of 22:30, 8 February 2016 by Tdick (talk | contribs) (Tdick moved page 10-601B Intro to neural Networks to 10-601B Intro to Neural Networks)
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