Deep Learning Onramp

Offered By: MathWorks via MATLAB Academy

Tags

MATLAB Courses Deep Learning Courses Neural Networks Courses Image Classification Courses Image Recognition Courses Transfer Learning Courses

Course Description

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

Taught by

Renee Bach

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