Deep Learning with JavaScript (Manning)
Wednesday, 04 March 2020

Written by the main authors of the TensorFlow library, Shanqing Cai, Stan Bileschi and Eric Nielsen, this book, subtitled "Neural networks in TensorFlow.js" shows what the library might be used for along with in-depth instruction for deep learning apps in JavaScript. The authors show how to use TensorFlow.js to build deep learning models that run directly in the browser. Examples featuring text analysis, speech processing, image recognition, and self-learning game AI, are used to illustrate the basics of deep learning along with more advanced concepts, like retraining existing models for transfer learning and image generation.

<ASIN:1617296171>

 

Authors: Shanqing Cai, Stan Bileschi and Eric Nielsen
Publisher: Manning
Date: February 2020
Pages: 560
ISBN: 978-1617296178
Print: 1617296171
Audience: JavaScript developers interested in deep learning
Level: Intermediate/Advanced
Category: Artificial Intelligence

deeplearningjava

 

Topics include:

  •  Image and language processing in the browser 
  • Tuning ML models with client-side data
  • Text and image creation with generative deep learning
  • Source code samples to test and modify

For recommendations of JavaScript books see JavaScript Beginners Book Choice and Advanced JavaScript Book Choices in our Programmer's Bookshelf section.

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Publisher: Manning
Date:April 2021
Pages: 832
ISBN: 978-1617298301
Print: 1617298301
Audience: Developers interested in ASP.NET
Rating: 4
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Date: September 2021
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