Book description
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 learning and 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
Publisher resources
Table of contents
- Foreword
- Preface
- 1. AI Is Magic
- 2. Introducing TensorFlow.js
- 3. Introducing Tensors
- 4. Image Tensors
- 5. Introducing Models
- 6. Advanced Models and UI
- 7. Model-Making Resources
- 8. Training Models
- 9. Classification Models and Data Analysis
- 10. Image Training
- 11. Transfer Learning
- 12. Dicify: Capstone Project
- Afterword
-
A. Chapter Review Answers
- Chapter 1: AI Is Magic
- Chapter 2: Introducing TensorFlow.js
- Chapter 3: Introducing Tensors
- Chapter 4: Image Tensors
- Chapter 5: Introducing Models
- Chapter 6: Advanced Models and UI
- 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
-
B. Chapter Challenge Answers
- Chapter 2: Truck Alert!
- Chapter 3: What Makes You So Special?
- Chapter 4: Sorting Chaos
- Chapter 5: Cute Faces
- Chapter 6: Top Detective
- Chapter 7: R.I.P. You will be MNIST
- Chapter 8: The Model Architect
- Chapter 9: Ship Happens
- Chapter 10: Saving the Magic
- Chapter 11: Warp-Speed Learning
- Chapter 12: Easy as 01, 10, 11
- C. Rights and Licenses
- Index
Product information
- Title: Learning TensorFlow.js
- Author(s):
- Release date: May 2021
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492090793
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