This paper provides an introduction into Deep Learning, focussing on both algorithms and applications. It covers both the basics of Neural networks and current mainstream and advanced Deep Learning technology.
Teaching Periods and Locations
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24A (HAM)
Hamilton, On-campus
24A (HAM)A Trimester :26 Feb 2024 - 23 Jun 2024HamiltonOn-campusPaper outline100% internal assessment
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24A (HAM) Paper outline |
A Trimester : 26 Feb 2024 - 23 Jun 2024 |
Hamilton | On-campus | 100% internal assessment |
If your paper outline is not linked below, try the previous year's version of this paper.
Timetabled lectures
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24A (HAM)
| Name | Day | Time | Room | Dates |
|---|---|---|---|---|
| Lecture 1 | Tue | 4:00 PM - 6:00 PM | S.1.03, Hamilton | Feb 27 - Mar 31 |
| Lecture 2 | Fri | 3:00 PM - 5:00 PM | K.G.01, Hamilton | Mar 1 - Mar 24 |
Indicative Fees
You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.
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| 24A (HAM) | $1,142 |
You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.
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|---|---|
| 24A (HAM) | $5,168 |
You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.
Available subjects
Additional information
- Paper details current as of 2 Jun 2024 01:20am
- Indicative fees current as of 14 Dec 2024 01:20am