MATLAB® Module 2: Image Processing & Deep Learning
19.11.2019 - 21.11.2019 | 09:00-17:30
This overall three-day course provides in the first part hands-on experience with performing image analysis. Examples and exercises demonstrate the use of appropriate MATLAB® and Image Processing ToolboxTM functionality throughout the analysis process.
Topics include:
• Importing and exporting images
• Analyzing images interactively
• Removing noise
• Aligning images and creating a panoramic scene
• Detecting edges, lines, and circles in an image
• Segmenting objects based on their color and texture
• Modifying objects' shape using morphological operations
• Measuring shape properties
• Performing batch analysis over sets of images
In the second part the course provides a comprehensive introduction to practical deep learning for image classification using MATLAB®. Attendees will learn how to create, train, and evaluate deep neural networks.
Topics include:
• Importing image and sequence data
• Using convolutional neural networks for image classification
• Modifying common network architectures to solve custom problems
• Improving the performance of a network by modifying training options