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) COSC480 or equivalent and at least 30 points at 200-300 level MATH/EMTH/STAT; (2) Subject to approval of the Head of Department of the Computer Science and Software Engineering.