Practical MATLAB Deep Learning: A Projects-Based Approach, 2nd Edition

click 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 7.2.2 Solution 7.2.3 How It Works 7.3 Orientation 7.3.1 Problem 7.3.2 Solution 7.3.3 How It Works 7.4 Dancer Simulation 7.4.1 Problem 7.4.2 Solution 7.4.3 How It Works 7.5 Real-Time Plotting 7.5.1 Problem 7.5.2 Solution 7.5.3 How It Works 7.6 Quaternion Display 7.6.1 Problem 7.6.2 Solution 7.6.3 How It Works 7.7 Making the IMU Belt 7.7.1 Problem 7.7.2 Solution 7.7.3 How It Works 7.8 Testing the System 7.8.1 Problem 7.8.2 Solution 7.8.3 How It Works 7.9 Classifying the Pirouette 7.9.1 Problem 7.9.2 Solution 7.9.3 How It Works 7.10 Data Acquisition GUI 7.10.1 Problem 7.10.2 Solution 7.10.3 How It Works 7.11 Hardware Sources 8 Completing Sentences 8.1 Introduction 8.1.1 Sentence Completion 8.1.2 Grammar 8.1.3 Sentence Completion by Pattern Recognition 8.1.4 Sentence Generation 8.2 Generating a Database 8.2.1 Problem 8.2.2 Solution 8.2.3 How It Works 8.3 Creating a Numeric Dictionary 8.3.1 Problem 8.3.2 Solution 8.3.3 How It Works 8.4 Mapping Sentences to Numbers 8.4.1 Problem 8.4.2 Solution 8.4.3 How It Works 8.5 Converting the Sentences 8.5.1 Problem 8.5.2 Solution 8.5.3 How It Works 8.6 Training and Testing 8.6.1 Problem 8.6.2 Solution 8.6.3 How It Works 9 Terrain-Based Navigation 9.1 Introduction 9.2 Modeling Our Aircraft 9.2.1 Problem 9.2.2 Solution 9.2.3 How It Works 9.3 Generating Terrain 9.3.1 Problem 9.3.2 Solution 9.3.3 How It Works 9.4 Close-Up Terrain 9.4.1 Problem 9.4.2 Solution 9.4.3 How It Works 9.5 Building the Camera Model 9.5.1 Problem 9.5.2 Solution 9.5.3 How It Works 9.6 Plotting the Trajectory 9.6.1 Problem 9.6.2 Solution 9.6.3 How It Works 9.7 Creating the Training Images 9.7.1 Problem 9.7.2 Solution 9.7.3 How It Works 9.8 Training and Testing 9.8.1 Problem 9.8.2 Solution 9.8.3 How It Works 9.9 Simulation 9.9.1 Problem 9.9.2 Solution 9.9.3 How It Works 10 Stock Prediction 10.1 Introduction 10.2 Generating a Stock Market 10.2.1 Problem 10.2.2 Solution 10.2.3 How It Works 10.3 Creating a Stock Market 10.3.1 Problem 10.3.2 Solution 10.3.3 How It Works 10.4 Training and Testing 10.4.1 Problem 10.4.2 Solution 10.4.3 How It Works 11 Image Classification 11.1 Introduction 11.2 Using AlexNet 11.2.1 Problem 11.2.2 Solution 11.2.3 How It Works 11.3 Using GoogLeNet 11.3.1 Problem 11.3.2 Solution 11.3.3 How It Works 12 Orbit Determination 12.1 Introduction 12.2 Generating the Orbits 12.2.1 Problem 12.2.2 Solution 12.2.3 How It Works 12.3 Training and Testing 12.3.1 Problem 12.3.2 Solution 12.3.3 How It Works 12.4 Implementing an LSTM 12.4.1 Problem 12.4.2 Solution 12.4.3 How It Works 13 Earth Sensors 13.1 Introduction 13.2 Linear Output Earth Sensor 13.2.1 Problem 13.2.2 Solution 13.2.3 How It Works 13.3 Segmented Earth Sensor 13.3.1 Problem 13.3.2 Solution 13.3.3 How It Works 13.4 Linear Output Sensor Neural Network 13.4.1 Problem 13.4.2 Solution 13.4.3 How It Works 13.5 Segmented Sensor Neural Network 13.5.1 Problem 13.5.2 Solution 13.5.3 How It Works 14 Generative Modeling of Music 14.1 Introduction 14.2 Generative Modeling Description 14.3 Problem: Music Generation 14.4 Solution 14.5 Implementation 14.6 Alternative Methods 15 Reinforcement Learning 15.1 Introduction 15.2 Titan Lander 15.3 Titan Atmosphere 15.3.1 Problem 15.3.2 Solution 15.3.3 How It Works 15.4 Simulating the Aircraft 15.4.1 Problem 15.4.2 Solution 15.4.3 How It Works 15.5 Simulating Level Flight 15.5.1 Problem 15.5.2 Solution 15.5.3 How It Works 15.6 Optimal Trajectory 15.6.1 Problem 15.6.2 Solution 15.6.3 How It Works 15.7 Reinforcement Example 15.7.1 Problem 15.7.2 Solution 15.7.3 How It Works Bibliography Index