10-601 Neural networks and Deep Belief Networks
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Revision as of 14:44, 23 September 2014 by Wcohen (talk | contribs) (→What You Should Know Afterward)
This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014
Slides
- William's slides: in Powerpoint, in PDF
Readings
- Mitchell: Ch. 4, or Bishop: Ch. 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
