Machine Learning with TensorFlow.js
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  • Table of Contents
  • Cover
  • Dedication
  • About the Author
  • Section 1: JavaScript for Machine Learning
    • Machine Learning on the Web
    • Machine Learning Concepts
    • Setting up a TensorFlow.js Development Environment
    • TensorFlow.js Primer
  • Section 2: Developing Neural Network Solutions
    • Train a Neural Network from Scratch with TensorFlow.js
    • End-to-End ML Solutions using TensorFlow.js
  • Section 3: Deep Learning using TensorFlow.js
    • Understanding Deep Neural Networks
    • Convolutional (CNN) and Recurrent Neural Networks (RNN)
    • Deep Reinforcement Learning and Generative Adversarial Networks (GAN)
    • TensorFlow.js Solutions
  • Section 4: Summary and Closing
    • Deployment to Production
    • Surfacing TensorFlow.js Solutions
    • Summary
  • Appendices
    • Appendix A
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Table of Contents

Machine Learning with TensorFlow.js

hashtag
Section 1: JavaScript for Machine Learning

Chapter 1: Machine Learning on the Webarrow-up-right

Chapter 2: Machine Learning Conceptsarrow-up-right

Chapter 3: Setting up a TensorFlow.js Development Environmentarrow-up-right

Chapter 4: TensorFlow.js Primerarrow-up-right

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Section 2: Developing Neural Network Solutions

Chapter 5: Train a Neural Network from Scratch with TensorFlow.jsarrow-up-right

Chapter 6: End-to-End ML Solutions using TensorFlow.jsarrow-up-right

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Section 3: Deep Learning using TensorFlow.js

Chapter 7: Understanding Deep Neural Networksarrow-up-right

Chapter 8: Convolutional (CNN) and Recurrent Neural Networks (RNN)arrow-up-right

Chapter 9: Deep Reinforcement Learning and Generative Adversarial Networks (GAN)arrow-up-right

Chapter 10: TensorFlow.js Solutionsarrow-up-right

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Section 4: Summary and Closing

Chapter 11: Deployment to Productionarrow-up-right

Chapter 12: Development for the TensorFlow.js Libraryarrow-up-right

Chapter 13: Summaryarrow-up-right

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Last updated 5 years ago

  • Section 1: JavaScript for Machine Learning
  • Section 2: Developing Neural Network Solutions
  • Section 3: Deep Learning using TensorFlow.js
  • Section 4: Summary and Closing