Highlights

Recent developments in deep learning have significantly improved our ability to detect defects. In this session, you will learn how to use MATLAB to develop deep learning based approaches to detect and localize different types of anomalies.

• Data access and preprocessing techniques including denoising, registration and intensity adjustment 
• Semantic segmentation and labeling of defects and abnormalities 
• Defect detection using MobileNetv2, Grad-CAM and other deep learning techniques
• Deploying to multiple hardware platforms such as CPUs and GPUs