Practical Machine Learning in JavaScript: Tensorflow.Js for Web Developers

Gerard, Charlie

  • 出版商: Apress
  • 出版日期: 2020-11-17
  • 售價: $1,440
  • 貴賓價: 9.5$1,368
  • 語言: 英文
  • 頁數: 323
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484264177
  • ISBN-13: 9781484264171
  • 相關分類: JavaScriptDeepLearningTensorFlowMachine Learning
  • 立即出貨 (庫存=1)

買這商品的人也買了...

商品描述

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 knowledge as a web developer, you'll add a whole new field of development to your tool 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.

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.

What You'll Learn
  • Use the JavaScript framework for ML
  • Build machine learning applications for the web
  • Develop dynamic and intelligent web content
Who This Book Is For

Web developers and who want a hands-on introduction to machine learning in JavaScript. A working knowledge of the JavaScript language is recommended.


商品描述(中文翻譯)

無需翻譯 C、Java、JavaScript、Python、Ruby、Go 等程式語言名稱
無需翻譯 React, Scrum, Kubernetes, Docker, ElasticSearch、Power BI、RESTful 等技術名稱
無需翻譯 英文人名、地名、學校名稱、公司名稱等

建立機器學習網頁應用程式,無需學習新的程式語言。本書將幫助您建立對機器學習概念和應用的基本知識。

您將不僅學習理論,還將深入研究使用TensorFlow.js的程式碼範例和示例專案。利用這些技能和您作為網頁開發人員的知識,您將為您的工具組添加一個全新的開發領域。這將使您對機器學習所提供的可能性有更具體的理解。發現機器學習將如何影響不僅是一般程式設計,而且是網頁開發的未來。

機器學習目前是最令人興奮的技術領域之一,有潛力影響從健康到家庭自動化再到零售甚至藝術等各個行業。Google現在推出了TensorFlow.js,這是TensorFlow的一個版本,專門針對網頁開發人員。《JavaScript實用機器學習》將幫助您以新的工具、趨勢和最佳實踐保持在科技行業中的相關性。

您將學到什麼:
- 使用JavaScript框架進行機器學習
- 為網頁建立機器學習應用程式
- 開發動態和智能的網頁內容

本書適合對JavaScript中的機器學習有實踐性介紹的網頁開發人員。建議具備JavaScript語言的工作知識。

作者簡介

Charlie Gerard is a Senior front-end developer at Netlify, a Google Developer Expert in Web Technologies, and a Mozilla Tech Speaker. She is passionate about exploring the possibilities of the web and spends her personal time building interactive prototypes using hardware, creative coding, and machine learning. She has been diving into ML in JavaScript for over a year and built a variety of projects. She's excited to share what she's learned and help more developers get started.

作者簡介(中文翻譯)

Charlie Gerard是Netlify的高級前端開發人員,也是Google Web技術專家和Mozilla技術演講者。她熱衷於探索網絡的可能性,並在個人時間中使用硬體、創意編碼和機器學習建立互動原型。她已經花了一年多的時間研究JavaScript中的機器學習並建立了各種項目。她很興奮能分享她所學到的知識,並幫助更多開發人員入門。