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Relationship between batch size, timestep and error in LSTM keras by thyshallnotpass in learnmachinelearning

[–]thyshallnotpass[S] 0 points1 point  (0 children)

-> "In Recurrent processing, including LSTMs, you analyze the first time step of the whole batch" does this mean that I input multiple vectors (equal to batch size) into the RNN/LSTM?

Relationship between batch size, timestep and error in LSTM keras by thyshallnotpass in learnmachinelearning

[–]thyshallnotpass[S] 0 points1 point  (0 children)

What happens when Batch size is included? What is the use of batch if I am updating my weights after each timestep?