The seed value passed to the neural network constructor controls the random part of the dropout process and the order in which training item are processed. The value specified, 2, is arbitrary. Next, ...

But the training network has a different number of hidden nodes (7 instead of 5) and a different random seed for weight initialization, because using the same number of hidden nodes and seeds would ...