- eBook:Practical Machine Learning in jаvascript: TensorFlow.js for Web Developers
- Author:Charlie Gerard
- Edition:1 edition
- Data:December 1, 2020
- Pages:339 pages
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 jаvascript will help you stay relevant in the tech industry with new tools, trends, and best practices.
What You'll Learn
- Use the jаvascript framework for ML
- Build machine learning applications for the web
- Develop dynamic and intelligent web content
Web developers and who want a hands-on introduction to machine learning in jаvascript. A working knowledge of the jаvascript language is recommended.
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