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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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In my opinion, it is better to train a generative LSTM model than a LSTM classifer. If I have a sequence 1.1, 1.5, 2.2, -3.7, 4.4, -6.8, 6.9, 7.7, 8.8, the model and loss function should be as … ^ ^ ^ ^ ^ | | | | | 1.1 1.5 2.2 -3.7 ... 8.8 where $o$ represents the zero state. While a cell needs to know the numbers afterwards, you may try using the bidirectional LSTM. …
answered Dec 16 '17 by robit