Login

 


 
     
Limit to available items
Record:   Prev Next
book jacket
BOOK
Title Practical machine learning in JavaScript : tensorflow.js for web developers / Charlie Gerard
Imprint [New York] : Apress, [2021]
2021

LIBRARY / MAP CALL NUMBER STATUS MESSAGE
 Stadsbibl:Slottet vån 2 Datorer, forskningsmetodik, journalistik  006 engelska    DUE 24-05-10  ---
Descript xvi, 323 pages 24 cm
Note Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications. You'll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your already honed skills as a web developer, you'll add a whole new field of development to your skill set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically. Get started in machine learning with web technologies. Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js-an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in JavaScript will help you stay relevant in the tech industry with new tools, trends, and best practices. You will: Use the JavaScript framework for ML Build machine learning applications for the web Develop dynamic and intelligent web content
Subject Programspråk
Internet
Internetprogrammering
Artificiell intelligens
Maskininlärning
JavaScript (Computer program language)
Artificial intelligence
Classmark 006.3
ISBN/ISSN 9781484264171
Record:   Prev Next