10-601 Neural networks and Deep Belief Networks

From Cohen Courses
Revision as of 14:43, 23 September 2014 by Wcohen (talk | contribs) (→‎Slides)
Jump to navigationJump to search

This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014

Slides

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