Deep Learning with JavaScript: Neural networks in TensorFlow.js 1st Edition

Book Name: Deep Learning with JavaScript: Neural networks in TensorFlow.js 1st Edition
Author: Shanqing Cai, Stan Bileschi, Eric Nielsen
Publisher: Manning Publications
ISBN-10: 1617296171, 978-1617296178
Year: 2019
Pages: 350
Language: English
File size: 13 MB
File format: PDF

Deep Learning with JavaScript: Neural networks in TensorFlow.js 1st Edition Pdf Book Description:

As a result of TensorFlow.js, today JavaScript programmers can build profound learning programs without relying upon Python or R. Deep Learning with JavaScript shows programmers how they can deliver DL technologies to the internet. Composed by the key authors of this TensorFlow library, this new publication offers interesting use instances and comprehensive instruction for profound learning programs in JavaScript on your browser or on Node.
Concerning the technology
Running deep learning software in the browser or around Node-based backends opens exciting possibilities for clever internet applications. Together with the TensorFlow.js library, you construct and train profound learning models using JavaScript. Its versions run everywhere JavaScript runs, pushing ML further up the program stack.

About the Novel
In Deep Learning using JavaScript, you will learn how to use TensorFlow.js to construct profound learning versions that operate right in the browser. Through varied examples including text analysis, language processing, image recognition, and self-learning match AI, you will master all of the fundamentals of profound learning and research innovative concepts, such as retraining existing versions for transport learning and picture creation.
What is inside
• Picture and speech processing in the browser
• Tuning ML versions with client-side data
• Text and picture creation with generative profound learning
• Source code samples to check and alter