Preface
1. Exploring the Landscape of Artificial Intelligence
An Apology
The Real Introduction
What Is AI?
Motivating Examples
A Brief History of AI
Exciting Beginnings
The Cold and Dark Days
A Glimmer of Hope
How Deep Learning Became a Thing
Recipe for the Perfect Deep Learning Solution
Datasets
Model Architecture
Frameworks
Hardware
Responsible AI
Bias
Accountability and Explainability
Reproducibility
Robustness
Privacy
Summary
Frequently Asked Questions
2. What's in the Picture: Image Classification with Keras
Introducing Keras
Predicting an Image's Category
Investigating the Model
ImageNet Dataset
Model Zoos
Class Activation Maps
Summary
3. Cats Versus Dogs: Transfer Learning in 30 Lines with Keras
Adapting Pretrained Models to New Tasks
A Shallow Dive into Convolutional Neural Networks
Transfer Learning
Fine Tuning
How Much to Fine Tune
Building a Custom Classifier in Keras with Transfer Learning
Organize the Data
Build the Data Pipeline
Number of Classes
Batch Size
Data Augmentation
Model Definition
Train the Model
Set Training Parameters
Start Training
Test the Model
Analyzing the Results
