COSC440

Deep Learning

15 points

Occurrences

  • COSC440-20S1 (C) Semester One 2020 - Not Offered
  • COSC440-20S2 (C) Semester Two 2020

Description

This course introduces students to theoretical foundational concepts of deep neural networks. The focus of this course is on both fundamental theoretical and applied methods in deep neural networks. A range of topics from convolutional and recurrent type networks to neural-network generative models and attention mechanisms will be introduced.

Prerequisites

(1) COSC262; (2) 30 points of 300-level COSC/SENG/DATA; (3) Approval by the Head of the Department of Computer Science and Software Engineering.