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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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can approach this in different ways: creating feature vectors + standard classification, association rule learning, HMMs, etc. In this case Im curious as to how an LSTM based network would fit best … clock with no-op events obviously works but seems ugly. Assuming I managed to train an LSTM is there a way to inspect the model to see what kind of event 'motifs' it has picked up? (ie, analogous to the …
asked Dec 16 '15 by dgorissen