Consider a CNN composed of three convolutional layers, each with $3\backslash$times $3$ kernels, a stride of $2,$ and "same" padding. The lowest layer outputs $100$ feature maps, the middle one outputs $200,$ and the top one outputs $400.$ The input images are RGB images of $200\backslash$times $300$ pixels.