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Let's say I have one input feature with 10 sequences of length 25 to predict the next value. So keras will receive an input vector of (10, 25, 1). If I use LSTM models with stateful=True the cell states will be remembered in between batches.

However, if I have multiple sequences in each batch, is the training equivalent to having stateful=False and a single batch of length 10?

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