Definition
3d convolution utilizes 3d convolutional filter for the 3d input (depth, height, width). Similar to the 2d convolution, the kernel slides across the input volume in all three dimensions, computing the Dot Product between the filter values and the input values at each position. The output of the convolution operation is a 3d feature map.