Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers

Book Description

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.

中文：

书名：Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers

无需学习一门新语言即可构建机器学习Web应用程序。这本书将帮助你发展机器学习概念和应用的基本知识。

您将不仅学习理论知识，还将使用TensorFlow.js深入研究代码样例和样例项目。使用这些技能和您作为Web开发人员的知识，您将为您的工具集添加一个全新的开发领域。这将使您对机器学习提供的可能性有更具体的理解。了解ML将如何影响未来的编程，特别是Web开发。

机器学习目前是最令人兴奋的技术领域之一，有可能影响从健康到家庭自动化，再到零售，甚至艺术的各个行业。谷歌现在已经推出了TensorFlow.js，这是TensorFlow的一个迭代，直接针对网络开发人员。基于Java的实用型机器学习它将通过新工具、趋势和最佳实践帮助您在科技行业保持相关性。
你会学到什么？

• 使用用于ML的JavaScript框架
• 为Web构建机器学习应用程序
• 开发动态、智能的Web内容

Who This Book Is For

Web开发人员，以及希望亲身体验使用JavaScript进行机器学习的人。我们建议您具备一定的JavaSphere语言应用知识。