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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 FREE CHAPTER
2. Machine Learning for the Web 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

Summary

In this chapter, we looked at several techniques we can use to improve the performance and stability of machine learning applications that are written in TensorFlow.js. Since TensorFlow.js is a framework that accelerates various kinds of runtime systems, such as WebGL, understanding its internal structure and implementation is the key to creating a performant application.

It is also important to profile our application's execution. Without complete knowledge of bottleneck and performance characteristics, we may end up with misplaced optimization. We can make use of the profiler that TensorFlow.js implements, as well as the Chrome profiler, to do this since the machine learning application in TensorFlow.js is just a web application. tf-vis shows us the other side of the application. The metrics that are obtained by tf-vis are more application-specific so that people...

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