The purpose of this special topic course is to provide recent advances of machine learning/deep learning in the context of computer vision and how they are designed and applied in industrial imaging applications including natural camera imaging in industrial routines (such as autonomous driving systems, line of product quality control, surveillance, recommender systems, etc), satellite imaging, and medical imaging. The pipeline for building sophisticated User-Interface (UI) systems is discussed in several imaging problems including object (region-of-interest) detection, image classification, image segmentation, image enhancement, and image calibration.

Prerequisites:

• Python Programming (e.g. PyTorch, Tensorflow, Keras): you need to have basic knowledge/ preliminary experience with Python programming. This course, including assignments and projects, involve with Python coding and you should be feeling comfortable to further learn how to code in Python language and gain experience.
• Preliminaries in Machine Learning