title: Feature map of convolutional-neural-network and total number of parameters
body: <p>Suppose i have an <strong>RGB</strong> image with dimension 125 * 125 and i use 10 filters with 5 * 5 dimension and stride =3 so what is feature map for this layer ? and what is the total number of parameters<br />
  my guess for feature map: 10*((125-5)/3)+1 = (41 * 41 * 10)(no of filters) but what is the difference between RGB image or Greyscale image  so for RGB image it should be 41 * 41 * 30 ( no of filters * no of channels of input image)?
  and for total number of parameters:5 * 5 * 3 * 10=750 ?</p>