Intelligent Systems Development

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:

1. Prepare framework in a suitable programming environment.
2. Apply the software tools required for a complex application.
3. Implement the recent advances in software development.
4. Analyse data using a pattern recognition approach to identify features of interest.
5. Research, design, develop, and reconstruct models by using current APIs for building a machine learning based application for a complex problem.

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