Academic Calendar 2023-2024

Search Results

CISC 473 Deep Learning

CISC 473  Deep Learning  Units: 3.00  

Design of deep neural networks based on leading-edge algorithms such as Restricted Boltzmann Machines, Recurrent Neural Networks, Convolutional Neural Networks, Long-Short Term Machines. Autoencoding as a clustering technique. Applications to prediction problems in natural language and images.

Learning Hours: 120 (36 Lecture, 84 Private Study)  
Requirements: Prerequisite Registration in a School of Computing Plan and a minimum grade of a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in (CISC 371 or [CISC 271 and CISC 352]).  
Offering Faculty: Faculty of Arts and Science