CSC421H1: Neural Networks and Deep Learning

Previous Course Number: 
CSC321H1
Hours: 
24L/12T

An introduction to neural networks and deep learning. Backpropagation and automatic differentiation. Architectures: convolutional networks and recurrent neural networks. Methods for improving optimization and generalization. Neural networks for unsupervised and reinforcement learning.

Prerequisite: 
Exclusion: 
Distribution Requirements: 
Science
Breadth Requirements: 
The Physical and Mathematical Universes (5)