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Practical machine learning in Javasc...
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Gerard, Charlie.
Practical machine learning in Javascripttensorflow.js for web developers /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Practical machine learning in Javascriptby Charlie Gerard.
其他題名:
tensorflow.js for web developers /
作者:
Gerard, Charlie.
出版者:
Berkeley, CA :Apress :2021.
面頁冊數:
xvi, 323 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Machine learning.
電子資源:
https://doi.org/10.1007/978-1-4842-6418-8
ISBN:
9781484264188$q(electronic bk.)
Practical machine learning in Javascripttensorflow.js for web developers /
Gerard, Charlie.
Practical machine learning in Javascript
tensorflow.js for web developers /[electronic resource] :by Charlie Gerard. - Berkeley, CA :Apress :2021. - xvi, 323 p. :ill., digital ;24 cm.
Chapter 1: The Basics of Machine Learning -- Chapter 2: Tensorflow.js -- Chapter 3: Building an Image Classifier -- Chapter 4: -- Text Classification and Sentiment Analysis -- Chapter 5: Experimenting with Inputs -- Chapter 6: Machine Learning in Production -- Chapter 7: Bias in Machine Learning.
Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications. You'll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your already honed skills as a web developer, you'll add a whole new field of development to your skill set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically. Get started in machine learning with web technologies. Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js-an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in JavaScript will help you stay relevant in the tech industry with new tools, trends, and best practices. You will: Use the JavaScript framework for ML Build machine learning applications for the web Develop dynamic and intelligent web content.
ISBN: 9781484264188$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-6418-8doiSubjects--Uniform Titles:
TensorFlow.
Subjects--Topical Terms:
188639
Machine learning.
LC Class. No.: Q325.5 / .G47 2021
Dewey Class. No.: 006.31
Practical machine learning in Javascripttensorflow.js for web developers /
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Chapter 1: The Basics of Machine Learning -- Chapter 2: Tensorflow.js -- Chapter 3: Building an Image Classifier -- Chapter 4: -- Text Classification and Sentiment Analysis -- Chapter 5: Experimenting with Inputs -- Chapter 6: Machine Learning in Production -- Chapter 7: Bias in Machine Learning.
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