class NeuralNet(nn.Module):
def init(self, input_size, hidden_size, num_classes):
super(NeuralNet, self).init()
self.fc1 = nn.Linear(input_size, hidden_size)
self.relu = nn.ReLU()
self.fc2 = nn.Linear(hidden_size, num_classes)
def forward(self, x):
    out = self.fc1(x)
    out = self.relu(out)
    out = self.fc2(out)
    return out