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
-
22A (HAM)
Hamilton, On-campus
22A (HAM)A Trimester :07 Mar 2022 - 03 Jul 2022HamiltonOn-campusPaper outline100% internal assessment
|
|
|
|
|
|
|---|---|---|---|---|
|
22A (HAM) Paper outline |
A Trimester : 07 Mar 2022 - 03 Jul 2022 |
Hamilton | On-campus | 100% internal assessment |
Timetabled lectures
-
22A (HAM)
| Name | Day | Time | Room | Dates |
|---|---|---|---|---|
| Lecture 1 | Tue | 4:00 PM - 6:00 PM | K.G.11, Hamilton | Mar 8 - Jun 12 |
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.
|
|
|
|---|---|
| 22A (HAM) | $1,081 |
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.
|
|
|
|---|---|
| 22A (HAM) | $4,643 |
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 19:56pm
- Indicative fees current as of 29 Oct 2024 01:20am