Lecture 7A: Introduction to Neural Networks (2020-03-25)

This lectures introduces the very basics of neural networks, from a description of a basic neuron from biology to the simple single-layer perceptron that it inspired. We cover the relationships between a single-layer perceptron and generalized linear modeling (GLM). We then demonstrate how the weights of a single artificial neuron can be trained for binary classification problems (with linearly separable data).

Whiteboard notes for this lecture can be found at:

https://www.dropbox.com/s/bswuk0gnqyk6hwe/IEE598-Lecture7A-Notes.pdf?dl=0