Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
1.1 I Studied Deep Learning the Wrong Way. . . This Is the Right Way 15
1.2 Who This Book Is For 17
1.2.1 Just Getting Started in Deep Learning? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
1.2.2 Already a Seasoned Deep Learning Practitioner? . . . . . . . . . . . . . . . . . . . . . . 17
1.3 Book Organization 17
1.3.1 Volume #1: Starter Bundle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
1.3.2 Volume #2: Practitioner Bundle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
1.3.3 Volume #3: ImageNet Bundle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
1.3.4 Need to Upgrade Your Bundle? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
1.4 Tools of the Trade: Python, Keras, and Mxnet 18
1.4.1 What About TensorFlow? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
1.4.2 Do I Need to Know OpenCV? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
1.5 Developing Our Own Deep Learning Toolset 19
1.6 Summary 20
2 What Is Deep Learning? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
2.1 A Concise History of Neural Networks and Deep Learning 22
2.2 Hierarchical Feature Learning 24
2.3 How "Deep" Is Deep? 27
2.4 Summary 30
3 Image Fundamentals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
3.1 Pixels: The Building Blocks of Images 31
3.1.1 Forming an Image From Channels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
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