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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23A (HAM)
Hamilton, On-campus
23A (HAM)A Trimester :27 Feb 2023 - 25 Jun 2023HamiltonOn-campusPaper outline100% internal assessment
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23A (HAM) Paper outline |
A Trimester : 27 Feb 2023 - 25 Jun 2023 |
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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23A (HAM)
| Name | Day | Time | Room | Dates |
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| Lecture 1 | Tue | 4:00 PM - 6:00 PM | - | Feb 28 - Jun 4 |
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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| 23A (HAM) | $1,111 |
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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| 23A (HAM) | $4,875 |
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 1 Jun 2024 22:32pm
- Indicative fees current as of 24 Dec 2024 01:20am