For example, we are taking a 3030 RGB image. So the image shape will be 3030*3.
For the first convolution layer, we are taking 10 filters. And will keep padding in a way the image size is preserved.
So now the size will be 303010
Now, for the second convolution layer, we are taking 5 filters. I want to understand how this convolution operation will take place. Like each filter will go to all 10 filters of layer one?