COMP 3200 / 6980 - Intro to Artificial Intelligence - Lecture 20 - Intro to Neural Networks
00:00 - Intro
00:59 - Neural Nets Resurrected
05:42 - Human Neurons
09:43 - Threshold Logic Units (TLU)
18:09 - Linear Separability
20:51 - Perceptron (Simple Neurons)
23:10 - Neural Network Structure
25:39 - Training a Neural Network
27:48 - Back Propagation Brief Overview
34:59 - Activation Function Smoothing
39:29 - Neural Net Structures
43:54 - Neural Net Demo (Tensorflow Playground)
53:49 - Neural Net Game AI Applications
59:36 - Assignment 5 Updates
Memorial University - Computer Science 3200 / 6980 - Winter 2025
Intro to Artificial Intelligence
Professor: David Churchill - http://www.cs.mun.ca/~dchurchill/
This course is an introduction to Artificial Intelligence (AI), covering algorithmic techniques and data structures used in modern problem-solving environments. Each topic will have a related assignment where the learned techniques are applied to simple games. This is the graduate version of COMP 3200.
Course Assignments / Files will not be released publicly