def reset_parameters(self): stdv = 1. / math.sqrt(self.Theta1.shape[1]) self.Theta1.data.uniform_(-stdv, stdv)

This function resets the parameters of a neural network layer. In particular, it initializes the weights of the layer (stored in the `Theta1` attribute) to random values between -`stdv` and `stdv`, where `stdv` is a value calculated based on the number of input features of the layer. This helps to break the symmetry in the weights and prevent the network from getting stuck in local minima during training.