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1,498 claims from 931 papers are on the record. 46 have been checked so far; the other 1,452 have no check with a result yet.

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Status: Unchecked ×Keyword: backpropagation through time ×Clear all

1 claim from 1 paper

1. Computer Science › Neural Networks and Applications

   Long Short-Term Memory

   Hochreiter and Schmidhuber · Neural Computation · 1997

   The paper introduces long short-term memory (LSTM), a gradient-based recurrent network method that bridges long time lags and, in artificial-data experiments, outperforms earlier recurrent algorithms.

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   1. UncheckedThe LSTM method works locally in space and time, and its computing cost per time step and per weight is constant (written "O. 1", i.e. O(1)).“LSTM is local in space and time; its computational complexity per time step and weight is O. 1.”