University Course Planner The University of Adelaide Australia

COMP SCI 7318 - Deep Learning Fundamentals

Career: Postgraduate Coursework
Units: 3
Term: 4339
Campus: North Terrace
Contact: Up to 3 hours per week
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: No
Pre-Requisite: COMP SCI 7202 or (COMP SCI 7210 and COMP SCI 7211)
Assessment: Assignments and/or quizzes
Syllabus:

This course introduces key concepts underlying the development of deep learning techniques. These include: the place of deep learning in the context of statistics and machine learning; the definition, training and validation of deep models. A range of common models and their applications will be presented. The foundational ideas presented in this course will equip students to understand and interpret future developments in this fast moving field.

Course Fees

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Student Status

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

Study Abroad student tuition fees are available here

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.

The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.

Units
EFTSL
Amount
3
0.125
          
  


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here


Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
4339 Mon 18/09/2023 Wed 20/09/2023 Fri 27/10/2023 Wed 22/11/2023


Class Details

Enrolment Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
36006 WR02 70 2 6 Sep - 22 Nov Wednesday 5pm - 6pm Barr Smith South, 2032, Teaching Room
Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled.
36064 WR01 100 7 5 Sep - 21 Nov Tuesday 4pm - 5pm Engineering & Mathematics, EM205, Teaching Room
Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled.
Related Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
36065 LE01 170 9 4 Sep - 20 Nov Monday 11am - 1pm Mawson, G19, Mawson Lecture Theatre
Note: For an enriching and interactive learning experience, it is highly recommended to attend the lecture in person. While the lecture will be recorded, it is primarily intended for review purposes and for individuals who cannot attend due to special circumstances. Please check MyUni for details once enrolled.