CSC321: Neural Networks

Lecture 1: What are neural networks?

What is Machine Learning?

It is very hard to say what makes a 2

Some examples of tasks that are best solved by using a learning algorithm

The goals of neural computation

A typical cortical neuron

Synapses

How the brain works

Modularity and the brain

Idealized  neurons

Linear neurons

Binary threshold neurons

Linear threshold neurons

Sigmoid neurons

A very simple way to recognize handwritten shapes

How to learn the weights

Slide 17

Slide 18

Slide 19

Slide 20

Slide 21

The learned weights

Why the simple system does not work

Examples of handwritten digits that need to be recognized correctly the first time they are seen

Types of connectivity

Types of learning task