Course title |
Intelligent Systems Development |
||
Course Codes |
SD7502 |
Level |
7 |
Status |
Elective |
Credits |
15 |
Prerequisite |
IT5501 Mathematics for IT SD6502 Programming II |
Course offered in |
|
Duration |
1 trimester |
|
|
Aim
To provide learners with an advanced level of knowledge and skills required for developing artificially intelligent applications.
Learning Outcomes
On successful completion of this course, the learner will be able to:
Indicative content
Introduction to computer vision, and Open Source Computer Vision (OpenCV) library, Use and improve open source W&W Vision library, Types of features and their application, Image segmentation, Deep Learning and GPU processing, Google Tensor flow vs. Microsoft Cognitive Toolkit, Keras, Identify and apply filters for noise estimation and data prediction
Have a question
or feedback?
Call us on 0800 935 832
or
send us a message