class MNIST_NN(nn.Module):
    def __init__(self, input_shape: int, 
                 hidden_units: int, 
                 output_shape: int):
        super().__init__()

        # Create a hidden layer with non-linearities
        self.layer_stack = nn.Sequential(
            nn.Flatten(),
            nn.Linear(in_features=input_shape, out_features=hidden_units),
            nn.ReLU(),
            nn.Linear(in_features=hidden_units, out_features=output_shape),
            nn.ReLU()
        )

    def forward(self, x: torch.Tensor):
        return self.layer_stack(x)