Deep Learning Onramp

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Deep Learning Onramp provided by MATLAB Academy is a comprehensive online course, which lasts for 2 hours worth of material. Deep Learning Onramp is taught by Renee Bach. Upon completion of the course, you can receive an e-certificate from MATLAB Academy. The course is taught in Englishand is Free Certificate. Visit the course page at MATLAB Academy for detailed price information.

Overview
    • Introduction: Familiarize yourself with Deep Learning concepts and the course.
    • Using Pretrained Networks: Perform classifications using a network already created and trained.
    • Managing Collections of Image Data: Organize and process images to make them usable with a given network.
    • Performing Transfer Learning: Modify a pretrained network to classify images into specified classes.
    • Conclusion: Learn next steps and give feedback on the course.

Syllabus
    • Deep Learning for Image Recognition
    • Course Example - Identify Objects in Some Images
    • Making Predictions
    • CNN Architecture
    • Investigating Predictions
    • Image Datastores
    • Preparing Images to Use as Input
    • Processing Images in a Datastore
    • Create a Datastore Using Subfolders
    • What is Transfer Learning
    • Components Needed for Transfer Learning
    • Preparing Training Data
    • Modifying Network Layers
    • Setting Training Options
    • Training the Network
    • Evaluating Performance
    • Transfer Learning Summary
    • Project - Roundworm Vitality
    • Additional Resources
    • Survey