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   $convolution-map as cntk.variable,
   $operand as cntk.variable,
   $additional-parameters as Object
) as cntk.function


Computes the convolution of convolution_map (typically a tensor of learnable parameters) with operand (commonly an image or output of a previous convolution/pooling operation). This operation is used in image and language processing applications. It supports arbitrary dimensions, strides, sharing, and padding.

$convolution-map Convolution filter weights, stored as a tensor of dimensions [O×I×m1×m2×…×mn], where [m1×m2×…×mn] must be the kernel dimensions (spatial extent of the filter).
$operand Convolution input. A tensor with dimensions [I×M1×M2×…×Mn].

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