Difference between revisions of "10-601B Intro to Neural Networks"

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=== Slides ===
 
=== Slides ===
  
* [http://curtis.ml.cmu.edu/w/courses/images/8/8b/Kernelized-svms.pdf Kernelized svm slides in pdf]
+
* [http://curtis.ml.cmu.edu/w/courses/images/5/56/Intro-anns.pdf Slides in pdf]
* [http://curtis.ml.cmu.edu/w/courses/images/a/aa/Kernelized-svms.pptx Kernelized svm slides in ppt]
 
  
 
=== Readings ===
 
=== Readings ===

Revision as of 23:31, 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

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