Convolution three modes: Calculated full, same, valid + size of the convolution output - Code World

Convolution three modes: Calculated full, same, valid + size of the convolution output

Others 2019-11-06 12:43:19 views: null

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Origin www.cnblogs.com/scarecrow-blog/p/11804306.html

Convolution three modes: Calculated full, same, valid + size of the convolution output

CNN: full convolution, same convolution, valid convolution

Two ways of padding convolution "SAME" and "VALID"

How to calculate the size after three types of convolution (ordinary convolution, transposed convolution, dilated convolution)

Computing the network output and the size of the convolution in the padding size explanation TCN

Convolution layer and the difference between the padding layer cell parameter "SAME" and "VALID" in

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Reprint: CNN learning convolution or pooling output map size calculation

Reprint: CNN learning convolution or pooling output map size calculation

Convolution calculates the size before and after convolution

convolution?

convolution

Convolution principle (convolution, padding, step size, multi-channel convolution)

It is known that the input image size is n, the convolution kernel size is f, the convolution step size is s, and the padding size is p. Solve the output image size.

And a set of three convolution Seeking

Three-dimensional convolution

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The size of the feature map after convolution and pooling~

The size, number, and number of channels of the convolution kernel

Convolution and deconvolution calculation of the output characteristics of FIG.

Determination and calculation of the number of convolution output channels

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Atrous convolution, groupable convolution

Partial convolution && Gated convolution

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