Pytorch, Torch, Torchvision, Deep Learning, Python.
kernel_size=4, padding=1), nn.BatchNorm2d(CHANNELS[3]), nn.ReLU(), nn.MaxPool2d(kernel_size=2, stride=2)) def forward(self, x): out = self.layer1(x) out = self.layer2(out) out = self.layer3(out) fc1 = nn.Linear(out.shape[1] * out.shape[2] * out.shape[3] , 100) dropout1 = nn.Dropout(0.25) fc2 =