This course is intended to introduce you to a broad introduction of artificial intelligence, machine learning and in particular in the aspect of neural networks. It will introduce several major popular state-of-the-art neural networks architectures as well as deep learning implementation environments. You would need to have basic programming skills.
| AUs | 2.0 AUs |
| Grade Type | |
| Prerequisite | IM4483, EE4483 |
| Not Available To Programme | |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
Other offerings
Other Relevant Mods
EE0005
Introduction To Data Science & Artificial Intelligence
EE1003
Introduction To Materials For Electronics
EE1005
From Computational Thinking To Programming
EE1071
Introduction To Eee Laboratories
EE1102
Physics Foundation For Electrical & Electronic Engineering
EE2001
Circuit Analysis
EE2002
Analog Electronics
EE2003
Semiconductor Fundamentals
EE2005
Electrical Devices & Machines