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並前往https://d2l.ai/chapter_convolutional-neural-networks/padding-and-strides.html

6.3. Padding and Stride - Dive into Deep Learning

As we generalized in Section 6.2, assuming that the input shape is nh×nw and the convolution kernel shape is kh×kw, then the output shape will be (nh−kh+1)×(nw ...

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