Deep Learning with JavaScript: Neural Networks in Tensorflow.Js

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Deep Learning with JavaScript: Neural Networks in Tensorflow.Js

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內容描述

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R.
Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

作者介紹

Shanqing Cai is one of the developers of TensorFlow, a popular open-source framework for deep learning and artificial intelligence.
Stan Bileschi is the technical lead for Google's TensorFlow Usability team, which built the TensorFlow Layers API.
Eric Nielsen is a senior software engineer on the Google Brain team.