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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26A (HAM)
Hamilton, In-person
26A (HAM)A Trimester :02 Mar 2026 - 28 Jun 2026Hamilton100% internal assessment
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26A (HAM) |
A Trimester : 02 Mar 2026 - 28 Jun 2026 |
Hamilton |
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100% internal assessment |
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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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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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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 18 Jun 2025 01:13am
- Indicative fees current as of 12 Aug 2025 01:20am