YoVDO

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

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX