human
Solve the following python programming problem given the following code:
# Create dataset object

class Net(nn.Module):
    
    # Constructor
    def __init__(self, Layers):
        super(Net, self).__init__()
        self.hidden = nn.ModuleList()
        for input_size, output_size in zip(Layers, Layers[1:]):
            self.hidden.append(nn.Linear(input_size, output_size))
    
    # Prediction
    def forward(self, activation):
        L = len(self.hidden)
        for (l, linear_transform) in zip(range(L), self.hidden):
            if l < L - 1:
                activation = F.relu(linear_transform(activation))    
            else:
                activation = linear_transform(activation)
        return activation
Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python program you requested.

<!--Empty Space for separating topics-->

<h2 id="Model">Neural Network Module and Function for Training</h2>

Create Neural Network Module using <code>ModuleList()</code>