Pytorch, Torch, Torchvision, Deep Learning, Python.
Conv2d(32, 64, kernel_size=(4, 4), stride=(1, 1), padding=(1, 1)) (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU() (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) And the model code, here; class CNN(nn.Module):