Neural Networks and Deep Learning - COMP9444

Faculty: Faculty of Engineering

School: School of Computer Science and Engineering

Course Outline:

Campus: Sydney

Career: Undergraduate

Units of Credit: 6

EFTSL: 0.12500 (more info)

Indicative Contact Hours per Week: 3

Enrolment Requirements:

Prerequisite: COMP1927 or COMP2521 or MTRN3500

Excluded: COMP9844

CSS Contribution Charge: 2 (more info)

Tuition Fee: See Tuition Fee Schedule

Further Information: See Class Timetable

View course information for previous years.


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.
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