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.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Seriously Good Software

Author: Marco Faella
Publisher: Manning
Date: March 2020
Pages: 328
ISBN: 978-1617296291
Print: 1617296295
Kindle: B09782DKN8
Audience: Relatively experienced Java programmers
Rating: 4.5
Reviewer: Mike James
Don't we all want to write seriously good software?



The Rust Programming Language, 2nd Ed

Author: Steve Klabnik and Carol Nichols
Publisher: No Starch Press
Date: June 2023
Pages: 560
ISBN: 978-1718503106
Print: 1718503105
Kindle: B0B7QTX8LL
Audience: Systems programmers
Rating: 4.8
Reviewer: Mike James

There's a new edition of what has become the standard text on Rust. Has it matured along with [ ... ]


More Reviews