This is an archived version of the course. Please see the latest version of the course.

Introduction to Module 4

Welcome to Module 4! This is going to be the first of two lectures on neural network models. We start with linear regression, which is a very useful model by itselt, and we will also use it to build artificial neurons and multi-layer neural networks. In the next lecture we will look more closely at how to optimise the parameters inside a neural network model.

The slides are available on Materials. There you can also find a pdf with optional neural network exercises. These cover both of the neural networks lectures, so some questions you might not be able to answer until after the next lecture. The correct answers will be made available next week as well.

This module is divided into 7 videos, and the first one starts here: