Learning Tensorflow.js: Powerful Machine Learning in JavaScript
by: Gant Laborde
Publisher finelybook 出版社: O’Reilly Media,Inc,USA (18 May 2021)
Language 语言: English
Print Length 页数: 300 pages
ISBN-10: 1492090794
ISBN-13: 9781492090793
Book Description
By finelybook
Given the demand for AI and the ubiquity of JavaScript,TensorFlow.js was inevitable. With this google framework,seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide,author Gant Laborde–google Developer Expert in machine learningand the web–provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists,engineers,web developers,students,and researchers.
You’ll begin by: working through some basic examples in TensorFlow.js before diving deeper into neural network architectures,DataFrames,TensorFlow Hub,model conversion,transfer learning,and more. Once you finish this book,you’ll know how to build and deploy production-readydeep learning systems with TensorFlow.js.
Explore tensors,the most fundamental structure of machine learning
Convert data into tensors and back with a real-world example
Combine AI with the web using TensorFlow.js
Use resources to convert,train,and manage machine learning data
Build and train your own training models from scratch
Table of contents
erace
Chapter 1. Al ls Magic
Chapter 2. Introducing TensorFlow js
Chapter 3. Introducing Tensors
Chapter 7. Model-Making Resources
Chapter 8. Training models
Chapter 9. Classification Models and Data Analysis
Chapter 10. Image Training
Chapter 11. Transfer Learning
Chapter 12. Dicify: Capstone Project
Afterword
Appendix A Chapter Review Answers
Appendix B Chapter Challenge Answers
x C Rights and Licenses
About the author
Colophon
