10-601B Kernelized SVMs
From Cohen Courses
This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016
Slides
Readings
- Support Vector Machines: Bishop 7.1, Murphy 14.5
- Andrew Ng's notes on SVM optimization
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
