class PyTorchNet(nn.Module):

    def __init__(self):
        super(PyTorchNet, self).__init__()
        self.fc1 = nn.Linear(28*28, 512)
        self.fc2 = nn.Linear(512, 1024)
        self.fc3 = nn.Linear(1024, 128)
        self.fc4 = nn.Linear(128, 10)

    def forward(self, x):
        x = x.view(-1, 28*28)
        x = torch.relu(self.fc1(x))
        x = torch.relu(self.fc2(x))
        x = torch.relu(self.fc3(x))
        x = self.fc4(x)
        return x

Architecture

Forward

pass