Neural Networks and Deep Learning - COMP9444
Faculty: Faculty of Engineering
School: School of Computer Science and Engineering
Course Outline: www.cse.unsw.edu.au/~cs9444
Campus: Sydney
Career: Postgraduate
Units of Credit: 6
EFTSL: 0.12500 (more info)
Indicative Contact Hours per Week: 3
Enrolment Requirements:
Prerequisite: COMP9024.
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.
Description
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 Levels
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