The role of convolution 1 * 1 layer, and what kind of role ResNet use identity mapping relationships

Convolution effect layers * 1 1

Answer: FIG feature complete the polymerization or divergent channel
that is used to control the depth of the final output layer is characterized by convolving FIG 1 * 1, and thus indirectly affect the number of parameters associated therewith convolution layer
summary: to reduce the number of parameters

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What is the role ResNet use identity mapping in the residual module

Summary: On the basis of no additional parameters and calculations on the amount, speed up training modules to enhance the training effect model

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(excerpt from pytorch depth study of practical computer vision)

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