Deep Learning (Ian Goodfellow etc.) (Z-Library)

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Contents Acknowledgments vii Notation ix 1 Introduction 1.1 Who Should Read This Book? . . . . . . . . . . . . . . . . . . . . 1.2 Historical Trends in Deep Learning . . . . . . . . . . . . . . . . . 1 8 11 I Applied Math and Machine Learning Basics 26 2 Linear Algebra 28 2.1 Scalars, Vectors, Matrices and Tensors . . . . . . . . . . . . . . . 28 2.2 Multiplying Matrices and Vectors . . . . . . . . . . . . . . . . . . 30 2.3 Identity and Inverse Matrices . . . . . . . . . . . . . . . . . . . . 3…