Overview

Topics chosen from: perceptrons, feedforward neural networks, backpropagation, Hopfield and Kohonen networks, restricted Boltzmann machine and autoencoders, deep convolutional networks for image processing; geometric and complexity analysis of trained neural networks; recurrent networks, language processing, semantic analysis, long short term memory; designing successful applications of neural networks; recent developments in … For more content click the Read More button below.

Conditions for Enrolment

Prerequisite: COMP1927 or COMP2521 or MTRN3500

Course Outline

To access course outline please visit below link (Please note that access to UNSW Canberra course outlines requires VPN):

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)