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image for course Tune Deep Learning Training Options

Tune Deep Learning Training Options

If you’ve trained a deep network and want to customize the network training process, this course will teach you training options that help you understand, validate, and improve your deep networks.

Course modules

Introduction

Get an overview of the course.

Lessons:
  • Course Overview
  • Outline and Learning Outcomes
  • Course Example: Landcover Classification

Monitor Network Training

Use built-in plots and validation to monitor your network during the training process.

Lessons:
  • Use a Training Progress Plot
  • Walkthrough the Training Progress Plot
  • Compare Options using Training Progress Plot
  • Validation During Training
  • Use Validation Data

Understand Network Training

Understand common training options and how they affect network training.

Lessons:
  • Network Training
  • Training Options
  • Training Options Table
  • Use Different Training Options

Train Networks using Experiments

Organize your training results with the Experiment Manager app.

Lessons:
  • Experiment Manager
  • Walkthrough the Experiment Manager Setup
  • Create Setup Function
  • Use Experiment Manager
  • On Your Own: Classify Fasteners

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Summary
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Deep Learning Onramp

Get started quickly using deep learning methods to perform image recognition.

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