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Hands-On Machine Learning with TensorFlow.js

You're reading from   Hands-On Machine Learning with TensorFlow.js A guide to building ML applications integrated with web technology using the TensorFlow.js library

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838821739
Length 296 pages
Edition 1st Edition
Languages
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Author (1):
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Kai Sasaki Kai Sasaki
Author Profile Icon Kai Sasaki
Kai Sasaki
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: The Rationale of Machine Learning and the Usage of TensorFlow.js
2. Machine Learning for the Web FREE CHAPTER 3. Importing Pretrained Models into TensorFlow.js 4. TensorFlow.js Ecosystem 5. Section 2: Real-World Applications of TensorFlow.js
6. Polynomial Regression 7. Classification with Logistic Regression 8. Unsupervised Learning 9. Sequential Data Analysis 10. Dimensionality Reduction 11. Solving the Markov Decision Process 12. Section 3: Productionizing Machine Learning Applications with TensorFlow.js
13. Deploying Machine Learning Applications 14. Tuning Applications to Achieve High Performance 15. Future Work Around TensorFlow.js 16. Other Books You May Enjoy

TensorFlow.js Ecosystem

Just like TensorFlow, TensorFlow.js has a bunch of ecosystem libraries. These libraries help us to build applications quickly and efficiently because some of them are designed to allow us to develop machine learning applications intuitively. In this chapter, we are going to introduce tools and libraries built on top of TensorFlow.js that we can use to accelerate the development of our application. Because these libraries are available as open source software, you can customize and contribute to them if necessary to meet your requirements.

The following topics will be covered in this chapter:

  • Why high-level libraries?
  • Using existing machine learning models
  • MobileNet in tfjs-models
  • Supported models by tfjs-models
  • Image classification application
  • Example applications in the community
  • Loading the data from various kinds of storage
  • Data sources
  • Webcam
  • Pose...
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