A specific padding isn't specified in Conv2D but instead a ZeroPadding2D layer. valid and same are really just shorthands for common ... ... <看更多>

Bug The error message for _ConvNd indicates that nn.Conv2d does not currently support a stride of 2 when using same padding. ... <看更多>

rows or columns are added conv2d = nn.Conv2D(1, kernel_size=3, padding=1) X = np.random.uniform(size=(8, 8)) comp_conv2d(conv2d, X).shape. ... <看更多>

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There are couple of reasons padding is important: It's easier to design networks if we preserve the height and width and don't have to worry too much about ... ... <看更多>

As we will soon see, sometimes it will be convenient to pad the input volume with zeros around the border. The size of this zero-padding is a hyperparameter ... ... <看更多>