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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

Deploying Machine Learning Applications

There are several ways in which we can deploy web applications. We need to be familiar with the common frameworks that pack up our artifacts and machine learning models. In this chapter, we are going to learn how to create a package of TensorFlow.js applications. In the previous chapters, we have written various kinds of machine learning applications using TensorFlow.js. These applications are so simple that it would be great to learn about the basic building blocks that we use when we write an application with TensorFlow.js. But this is just the beginning.

From this chapter onward, more advanced topics will be covered. Therefore, it would be useful to make our applications production-ready in terms of performance and portability.

In this chapter, we will cover the following topics:

  • The ecosystem around the JavaScript platform
  • Module bundler...
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