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A Long Short Term Memory (LSTM) is a neural network architecture that contains recurrent NN blocks that can remember a value for an arbitrary length of time.

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From my understanding, the BPC is just the average cross-entropy (used with log base 2). In the case of Alex Graves' papers, the aim of the model is to approximate the probability distribution of the …
answered Feb 14 '17 by user6952886