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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

Drawing cats with Magenta.js

Magenta is an open source project that you can use to apply machine learning technology in the fields of art and music. It is mainly used by researchers or artists who are enthusiastic about making use of machine learning technology in the artistic field. Magenta was originally developed on the TensorFlow Python API, but the web platform is regarded as the best place to run the audio and image application. Then, Magenta was also integrated into the web with TensorFlow.js. Like ML5.js, Magenta.js is just a collection of models that can be utilized in the machine learning applications, especially for music and image processing. Pre-trained models are available so that we can save time while training the model from scratch.

There are three main types of modules in Magenta.js, @magenta/music, @magenta/sketch, and @magenta/image. As the name suggests, the...

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