Consider a batch of $50$ sequences. Suppose you have trained an RNN model with these sequences. Let$$s call this model A$.$ Now, suppose you want to train another model B$,$ which has the exact same architecture as model A$.$ Assume that the training is not stochastic in nature $($that is$,$ all the seed values are the same while initializing the network parameters$).$

If model B was trained in the same way that model A was, which of these actions would result in a different set of weights?

Shuffling the order of entities within each sequence

Shuffling the order of the sequences in the training data

Both of the above

None of the above