Intro
Contents
About the Authors
About the Technical Reviewer
Acknowledgments
Preface to the Second Edition
1 What Is Deep Learning?
1.1 Deep Learning
1.2 History of Deep Learning
1.3 Neural Nets
1.3.1 Daylight Detector
Problem
Solution
How It Works
1.3.2 XOR Neural Net
Problem
Solution
How It Works
1.4 Deep Learning and Data
1.5 Types of Deep Learning
1.5.1 Multi-layer Neural Network
1.5.2 Convolutional Neural Network (CNN)
1.5.3 Recurrent Neural Network (RNN)
1.5.4 Long Short-Term Memory Network (LSTM)

1.5.5 Recursive Neural Network
1.5.6 Temporal Convolutional Machine (TCM)
1.5.7 Stacked Autoencoders
1.5.8 Extreme Learning Machine (ELM)
1.5.9 Recursive Deep Learning
1.5.10 Generative Deep Learning
1.5.11 Reinforcement Learning
1.6 Applications of Deep Learning
1.7 Organization of the Book
2 MATLAB Toolboxes
2.1 Commercial MATLAB Software
2.1.1 MathWorks Products
Deep Learning Toolbox
Instrument Control Toolbox
Statistics and Machine Learning Toolbox
Computer Vision Toolbox
Image Acquisition Toolbox
Parallel Computing Toolbox

Text Analytics Toolbox
2.2 MATLAB Open Source
2.3 XOR Example
2.4 Training
2.5 Zermelo's Problem
3 Finding Circles
3.1 Introduction
3.2 Structure
3.2.1 imageInputLayer
3.2.2 convolution2dLayer
3.2.3 batchNormalizationLayer
3.2.4 reluLayer
3.2.5 maxPooling2dLayer
3.2.6 fullyConnectedLayer
3.2.7 softmaxLayer
3.2.8 classificationLayer
3.2.9 Structuring the Layers
3.3 Generating Data
3.3.1 Problem
3.3.2 Solution
3.3.3 How It Works
3.4 Training and Testing
3.4.1 Problem
3.4.2 Solution
3.4.3 How It Works
4 Classifying Movies

4.1 Introduction
4.2 Generating a Movie Database
4.2.1 Problem
4.2.2 Solution
4.2.3 How It Works
4.3 Generating a Viewer Database
4.3.1 Problem
4.3.2 Solution
4.3.3 How It Works
4.4 Training and Testing
4.4.1 Problem
4.4.2 Solution
4.4.3 How It Works
5 Algorithmic Deep Learning
5.1 Building the Filter
5.1.1 Problem
5.1.2 Solution
5.1.3 How It Works
5.2 Simulating
5.2.1 Problem
5.2.2 Solution
5.2.3 How It Works
5.3 Testing and Training
5.3.1 Problem
5.3.2 Solution
5.3.3 How It Works
6 Tokamak Disruption Detection

6.1 Introduction
6.2 Numerical Model
6.2.1 Dynamics
6.2.2 Sensors
6.2.3 Disturbances
6.2.4 Controller
6.3 Dynamical Model
6.3.1 Problem
6.3.2 Solution
6.3.3 How It Works
6.4 Simulate the Plasma
6.4.1 Problem
6.4.2 Solution
6.4.3 How It Works
6.5 Control the Plasma
6.5.1 Problem
6.5.2 Solution
6.5.3 How It Works
6.6 Training and Testing
6.6.1 Problem
6.6.2 Solution
6.6.3 How It Works
7 Classifying a Pirouette
7.1 Introduction
7.1.1 Inertial Measurement Unit
7.1.2 Physics
7.2 Data Acquisition
7.2.1 Problem