Learning TensorFlow.js: Powerful Machine Learning in JavaScript

Copyright
Table of Contents
Foreword
Preface
	Let’s Do This
	Why TensorFlow.js?
	Who Should Read This Book?
	Book Overview
		The Chapters
		The Takeaway
	Conventions Used in This Book
	Using Code Examples
	O’Reilly Online Learning
	How to Contact Us
	Acknowledgments
Chapter 1. AI Is Magic
	The Path of AI in JavaScript
	What Is Intelligence?
	The History of AI
	The Neural Network
	Today’s AI
	Why TensorFlow.js?
		Significant Support
		Online Ready
		Offline Ready
		Privacy
		Diversity
	Types of Machine Learning
		Quick Definition: Supervised Learning
		Quick Definition: Unsupervised Learning
		Quick Definition: Semisupervised Learning
		Quick Definition: Reinforcement Learning
		Information Overload
	AI Is Everywhere
	A Tour of What Frameworks Provide
		What Is a Model?
	In This Book
		Associated Code
		Chapter Sections
		Common AI/ML Terminology
	Chapter Review
		Review Questions
Chapter 2. Introducing TensorFlow.js
	Hello, TensorFlow.js
	Leveraging TensorFlow.js
	Let’s Get TensorFlow.js Ready
	Getting Set Up with TensorFlow.js in the Browser
		Using NPM
		Including a Script Tag
	Getting Set Up with TensorFlow.js Node
	Verifying TensorFlow.js Is Working
		Download and Run These Examples
	Let’s Use Some Real TensorFlow.js
		The Toxicity Classifier
		Loading the Model
		Classifying
	Try It Yourself
	Chapter Review
		Chapter Challenge: Truck Alert!
		Review Questions
Chapter 3. Introducing Tensors
	Why Tensors?
	Hello, Tensors
		Creating Tensors
		Tensors for Data Exercises
	Tensors on Tour
		Tensors Provide Speed
		Tensors Provide Direct Access
		Tensors Batch Data
	Tensors in Memory
		Deallocating Tensors
		Automatic Tensor Cleanup
	Tensors Come Home
		Retrieving Tensor Data
	Tensor Manipulation
		Tensors and Mathematics
		Recommending Tensors
	Chapter Review
		Chapter Challenge: What Makes You So Special?
		Review Questions
Chapter 4. Image Tensors
	Visual Tensors
	Quick Image Tensors
	JPGs and PNGs and GIFs, Oh My!
		Browser: Tensor to Image
		Browser: Image to Tensor
		Node: Tensor to Image
		Node: Image to Tensor
	Common Image Modifications
		Mirroring Image Tensors
		Resizing Image Tensors
		Cropping Image Tensors
		New Image Tools
	Chapter Review
		Chapter Challenge: Sorting Chaos
		Review Questions
Chapter 5. Introducing Models
	Loading Models
		Loading Models Via Public URL
		Loading Models from Other Locations
	Our First Consumed Model
		Loading, Encoding, and Asking a Model
		Interpreting the Results
		Cleaning the Board After
	Our First TensorFlow Hub Model
		Exploring TFHub
		Wiring Up Inception v3
	Our First Overlayed Model
		The Localization Model
		Labeling the Detection
	Chapter Review
		Chapter Challenge: Cute Faces
		Review Questions
Chapter 6. Advanced Models and UI
	MobileNet Again
		SSD MobileNet
	Bounding Outputs
		Reading Model Outputs
		Displaying All Outputs
	Detection Cleanup
		Quality Checking
		IoUs and NMS
	Adding Text Overlays
		Solving Low Contrast
		Solving Draw Order
	Connecting to a Webcam
		Moving from Image to Video
		Activating a Webcam
		Drawing Detections
	Chapter Review
		Chapter Challenge: Top Detective
		Review Questions
Chapter 7. Model-Making Resources
	Out-of-Network Model Shopping
		Model Zoos
		Converting Models
	Your First Customized Model
		Meet Teachable Machine
		Use Teachable Machine
		Gathering Data and Training
		Verifying the Model
	Machine Learning Gotchas
		Small Amounts of Data
		Poor Data
		Data Bias
		Overfitting
		Underfitting
	Datasets Shopping
		The Popular Datasets
	Chapter Review
		Chapter Challenge: R.I.P. You Will Be MNIST
		Review Questions
Chapter 8. Training Models
	Training 101
		Data Prep
		Design a Model
		Identify Learning Metrics
		Task the Model with Training
		Put It All Together
	Nonlinear Training 101
		Gathering the Data
		Adding Activations to Neurons
		Watching Training
		Improving Training
	Chapter Review
		Chapter Challenge: The Model Architect
		Review Questions
Chapter 9. Classification Models and Data Analysis
	Classification Models
	The Titanic
		Titanic Dataset
	Danfo.js
		Preparing for the Titanic
		Training on Titanic Data
	Feature Engineering
		Dnotebook
		Titanic Visuals
		Creating Features (aka Preprocessing)
		Feature Engineered Training Results
		Reviewing Results
	Chapter Review
		Chapter Challenge: Ship Happens
		Review Questions
Chapter 10. Image Training
	Understanding Convolutions
		Convolutions Quick Summary
		Adding Convolution Layers
	Understanding Max Pooling
		Max Pooling Quick Summary
		Adding Max Pooling Layers
	Training Image Classification
		Handling Image Data
	The Sorting Hat
		Getting Started
		Converting Folders of Images
		The CNN Model
		Training and Saving
	Testing the Model
		Building a Sketchpad
		Reading the Sketchpad
	Chapter Review
		Chapter Challenge: Saving the Magic
		Review Questions
Chapter 11. Transfer Learning
	How Does Transfer Learning Work?
		Transfer Learning Neural Networks
	Easy MobileNet Transfer Learning
		TensorFlow Hub Check, Mate!
	Utilizing Layers Models for Transfer Learning
		Shaving Layers on MobileNet
		Layers Feature Model
		A Unified Model
	No Training Needed
		Easy KNN: Bunnies Versus Sports Cars
	Chapter Review
		Chapter Challenge: Warp-Speed Learning
		Review Questions
Chapter 12. Dicify: Capstone Project
	A Dicey Challenge
	The Plan
		The Data
		The Training
		The Website
	Generating Training Data
	Training
	The Site Interface
		Cut into Dice
		Reconstruct the Image
	Chapter Review
		Chapter Challenge: Easy as 01, 10, 11
		Review Questions
Afterword
	Social
	More Books
	Other Options
	More TensorFlow.js Code
	Thanks
Appendix 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
Appendix 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
Appendix C. Rights and Licenses
	Unsplash License
	Apache License 2.0
	Public Domain
	WTFPL
	Creative Commons Attribution-sharealike 4.0 International License (CC BY-SA 4.0)
	Creative Commons Attribution 4.0 International License (CC BY 4.0)
	Gant Laborde and O’Reilly
	TensorFlow and TensorFlow.js Logos
Index
About the Author
Colophon