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РецензированоUZ2020

Deep Learning with JavaScript: Neural networks in TensorFlow.js

Shanqing Cai · S. Bileschi · E. D. Nielsen · F. Chollet

Учебная литература · 2020

Аннотация

About this book, in deep learning with JavaScript, you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. This fast-paced book, written by Google engineers, is practical, engaging, and easy to follow. Through diverse examples featuring text analysis, speech processing, image recognition, and self-learning game AI, you’ll master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation. 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.

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«About this book, in deep learning with JavaScript, you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser.»

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About this book, in deep learning with JavaScript, you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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