A guide to convolution arithmetic for deep learning
一篇外国大牛写的关于CNN调参的讲解,具体内容见目录: 1 Introduction 1.1 Discrete convolutions . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.2 Pooling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2 Convolution arithmetic 2.1 No zero padding, unit strides . . . . . . . . . . . . . . . . . . . . 12 2.2 Zero padding, unit strides . . . . . . . . . . . . . . . . . . . . . . 14 2.2.1 Half (same) padding . . . . . . . . . . . . . . . . . . . . . 14 2.2.2 Full padding . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.3 No ze ro padding, non-unit strides . . . . . . . . . . . . . . . . . . 15 2.4 Zero padding, non-unit strides . . . . . . . . . . . . . . . . . . . . 15 3 Pooling arithmetic 4 Transposed convolution arithmetic 4.1 Convolution as a matrix operation . . . . . . . . . . . . . . . . . 19 4.2 Transposed convolution . . . . . . . . . . . . . . . . . . . . . . . 19 4.3 No zero padding, unit strides, transposed . . . . . . . . . . . . . 20 4.4 Zero padding, unit strides, transposed . . . . . . . . . . . . . . . 21 4.4.1 Half (same) padding, transposed . . . . . . . . . . . . . . 21 4.4.2 Full padding, transposed . . . . . . . . . . . . . . . . . . . 21 4.5 No zero padding, non-unit strides, transposed . . . . . . . . . . . 23 4.6 Zero padding, non-unit strides, transposed . . . . . . . . . . . . . 23
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