Advanced Deep Learning Techniques for Computer Vision

MathWorks via Coursera

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Overview

Visual inspection and medical imaging are two applications that aim to find anything unusual in images. In this course, youll train and calibrate specialized models known as anomaly detectors to identify defects. Youll also use advanced techniques to overcome common data challenges with deep learning. AI-assisted labeling is a technique to auto-label images, saving time and money when you have tens of thousands of images. If you have too few images, youll generate synthetic training images using data augmentation for...

Syllabus

Anomaly Detection

Train anomaly detection models. These models do not find specific objects or classes, but instead find unusual regions in images.

Data Augmentation

Generate synthetic images to use for training models.

Model-Assisted Labeling

Save hours of manual labor by using model-assisted labeling to prepare images for object detection

Creating Your Own Models

Learn how to diagnose problems when training models for your applications. Also, learn the options available to share and use your model outside of MATLAB.