in both convolutions in standard convolution each kernel has k times D K times M learn about parameters since there are n such kernels there are n times M times D K squared parameters in depth by separable convolutions will split this once again into two parts in the depth wise convolution phase we use M kernels of shape DK cross DK in point wise convolution we use n kernels of shape 1 Cross 1 cross M so the total is M times DK square plus M times n or we can just take M common taking the ratio we get the same ratio as we did for