Learning TensorFlow js Powerful Machine Learning in JavaScript 1st Edition by Gant Laborde, Laurence Moroney ISBN 1492090794 9781492090793

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Product details:

ISBN 10: 1492090794
ISBN 13: 9781492090793
Author: Gant Laborde, Laurence Moroney

Learning TensorFlow js Powerful Machine Learning in JavaScript 1st Edition Table of contents:

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

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

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

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

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

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

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

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

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

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

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

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

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Tags: Gant Laborde, Laurence Moroney, Learning TensorFlow, Powerful Machine Learning