Difference between revisions of "10-601 Neural networks and Deep Belief Networks"
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=== Readings === | === Readings === | ||
| − | * Mitchell: Ch. 4 | + | * Mitchell: Ch. 4, Murphy Ch 16.5 |
=== What You Should Know Afterward === | === What You Should Know Afterward === | ||
Latest revision as of 16:44, 6 January 2016
This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016
Slides
- William's slides: in Powerpoint, in PDF
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
