Hi, so i have this network:

class Model(nn.Module):
    def __init__(self):
        super(Model, self).__init__()
        self.conv1 = nn.Sequential( 
                        nn.Conv2d(1, 20, 5),
                        nn.ReLU())
        self.conv2 = nn.Sequential(
                       nn.Conv2d(20, 20, 5),
                       nn.Sigmoid())

    def forward(self, x):
        x = self.conv1(x)
        return self.conv2(x)

how can i access the weights an bias of each layer and modify them?