Some questions about the network structure

[cloudtom]

Why there is only one down sampling(MaxPool2d after the first layer of conv2d) in your network structure? Can you tell me the reason for designing the network like this? Why not add MaxPool2d after the each layer of conv2d to reduce parameters.
If the original image parameters(size) are large, the RAM may not enough for training. What can I do if there are too many parameters?