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Deep learning architectures

Study level

PhD

Master of Philosophy

Honours

Faculty/Lead unit

Topic status

We're looking for students to study this topic.

Supervisors

Professor Clinton Fookes
Position
Professor
Division / Faculty
Science and Engineering Faculty
Dr Kien Nguyen Thanh
Position
Research Fellow
Division / Faculty
Science and Engineering Faculty
Emeritus Professor Sridha Sridharan
Position
Adjunct Professor
Division / Faculty
Science and Engineering Faculty

Overview

This project reviews deep learning architectures in the literature and investigates improvements for state-of-the-art algorithms.

Research activities

You will be working with a team who has a strong background in deep learning.

Outcomes

The expected outcomes of the project include:

  • implementation of deep learning architectures and improvements
  • a write-up (possibly a paper) on the ideas and implementations.

Skills and experience

You will need to be fluent in Python, C++ or Matlab.

Neural network, machine learning, computer vision is a bonus.

Keywords

Contact

Contact the supervisor for more information.