Deep Learning by Ian Goodfellow

We have an image of dimension 32X32X3. We want to collect 16X16X4 features from this image. We want to use a CONV layer of some 5X5 filters, then a POOL layer of 2X2 filter. A) What will the stride, padding, and filter dimensions of the CONV layer? (6)B) What will be the output dimension of the CONV layer? (2)C) What will be the stride, padding of the POOL layer? (4)D) How many parameters do we need for these two layers? (4)E) How many multiplications do we need for these layers? (4)