November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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Future Work Around TensorFlow.js
Our discussion so far has been based on the functionalities and features available today. But while we were writing this book, TensorFlow 2.0 was released. Of course, many of the ideas from TensorFlow 2.0 have been implemented in TensorFlow.js too. In this last chapter of the book, we are going to introduce several on-going projects and future plans to make TensorFlow.js more accessible and useful to machine learning developers on the web platform.
The following topics will be covered in this chapter:
- Experimental backend implementations
- WebGPU
- WebAssembly
- Mobile native applications with React Native
- Native applications with Electron
- AutoML edge helper
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