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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 neural networks and deep learning.

Study Level

Postgraduate

Offering Terms

Term 2, Term 3

Campus

Kensington

Delivery Mode

Fully on-site

Indicative contact hours

4

Conditions for Enrolment

Course Outline

To access course outline, please visit:

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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