Consider a convolution layer. The input consists of $6$ feature maps of size $20$x$20.$ The output consists of $8$ feature

maps, and the filters are of size $5$x$5.$ The convolution is done with a stride of $2$ and zero padding, so the output feature

maps are of size $10$x$10.(10)$

$($a$)$ Determine the number of weights in this convolution layer.

$($b$)$ Now suppose we made this a fully connected layer, but where the number of input and output units are kept

the same as in the network described above. Determine the number of weights in this layer