How many neurons are used in Lstm?
Answers from top 12 papers
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| Papers (12) | Insight |
|---|---|
45 Citations | Thus, one neuron or group of neurons anywhere in the cortex can be a part of many networks and thus many memories. |
| These results suggest that LSTM language models learn high-level representations that are related to representations in the human brain. | |
24 May 2017 160 Citations | Simulation studies will be presented to demonstrated the new LSTM structure performs much better than conventional RNN and even single LSTM network. |
01 Oct 2017 39 Citations | Another advantage of the LSTM-RNN is that it can also be used with measurements that include transitions between classes over time. |
| We find that neurons with spike-frequency adaptation, which occur especially frequently in higher cortical areas of the human brain, provide to brains a functional equivalent to LSTM units. | |
15 Apr 2018 40 Citations | The A-LSTM outperforms the conventional LSTM by 5.5% relatively. |
26 Jul 2017 43 Citations | It shows that LSTM is superior in machine state prediction and monitoring. |
| Compared with other conventional models, ST-LSTM network can achieve a better performance in experiments. | |
08 Feb 2015 | Our results show that the low level combination works best, thanks to the powerful data modeling of the LSTM neurons. |
78 Citations | The results show that the proposed methods are more accurate than a normal LSTM model. |
01 Oct 2016 265 Citations | Experiment results show the standard LSTM outperformed others. |
15 Apr 2018 40 Citations | This shows the advantage of A-LSTM. |