Difference between revisions of "10-601B Intro to Neural Networks"
From Cohen Courses
Jump to navigationJump to search (→Slides) |
|||
| Line 12: | Line 12: | ||
=== What You Should Know Afterward === | === What You Should Know Afterward === | ||
| + | <!-- | ||
* What functions can be expressed with multi-layer networks that a single layer cannot express | * 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 | * The backpropagation algorithm, and what loss is associated with it | ||
* In outline, how deep neural networks are trained | * In outline, how deep neural networks are trained | ||
| + | --> | ||
Revision as of 22:35, 8 February 2016
This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016
Slides
Readings
- Mitchell: Ch. 4, Murphy Ch 16.5
