EXEN 2452 - Applications with Deep and Graphical Networks

36 units

Faculty of Engineering

Dive into Deep Learning methodology and begin to build neural networks. The module will cover subjects such as convolutional neural networks and their applications to images; recurrent network models for processing natural language and speech. It will also introduce networks representing probability distributions, in particular Bayesian and Markov networks, and their applications. Co-requisite: EXEN 2451

No syllabi