Solved by rasbt in post #2 
              
              
                It’s just a regular convolution function (i.e., the default convolution operation that is used in typical convnets on 2d images). So, yes, you will use one kernel to generate the feature maps for every image in a mini batch. Basically, you will get one feature map per kernel. Hence, if you want 5 fe…