Difference between revisions of "10-601 Neural networks and Deep Belief Networks"
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=== Slides === | === Slides === | ||
| − | * | + | * William's slides: [http://www.cs.cmu.edu/~wcohen/10-601/nnets.pptx in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-601/nnets.pdf in PDF] |
=== Readings === | === Readings === | ||
Revision as of 15:43, 23 September 2014
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
- From single layer to multy-layer networks
- What can be solved with multy-layer networks that a single layer cannot
- Backpropagation
- Deep neural networks
- Application of deep NN
