10-601B Neural Networks

From Cohen Courses
Revision as of 01:25, 11 February 2016 by Tdick (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016

Slides

Readings

  • Mitchell: Ch. 4
  • Bishop: Ch. 5

What You Should Know Afterward

  • What multi-layer networks are and why they are useful.
  • The backpropagation algorithm, and what loss is associated with it.
  • Dealing with overfitting.
Retrieved from "http://curtis.ml.cmu.edu/w/courses/index.php?title=10-601B_Neural_Networks&oldid=18348"