Intelligent Information Systems
-
Lecture 9 - Perceptrons
First page
Back
Continue
Last page
Overview
Graphics
Linear Separability
Learning involves positioning the hyperplane
If the hyperplane cannot be positioned to separate all training examples, then the algorithm will never converge
never reach 0 errors
Tweet
Maintained by Dr Michael J. Watts (
mike.watts.net.nz
).