Machine Learning

CS 5350/6350, Fall 2020

Neural Networks

In this lecture, we will take a look at neural networks. First, we will see what neural networks are from the structural point of view and as a hypothesis class. Then we will look at the problem of training the parameters of a neural network using backpropagation.

Note that neural networks represent a vast collection of topics and the lecture only covers a very small slice. Students are encouraged to read the references if they are interested in learning more about this topic.

Lecture Slides