How do you determine the number of neurons in Lstm?
Answers from top 7 papers
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| Papers (7) | Insight |
|---|---|
| The correct definition of the number of layers and the number of neurons in each layer are crucial, once the training is directly influenced by these parameters. | |
08 Feb 2015 | Our results show that the low level combination works best, thanks to the powerful data modeling of the LSTM neurons. |
| Results show that LSTM network has better performance than BP network under the condition of same number of hidden layers and neurons. | |
1.7K Citations | In particular it is shown that networks of spiking neurons are, with regard to the number of neurons that are needed, computationally more powerful than these other neural network models. |
15 Apr 2018 40 Citations | This shows the advantage of A-LSTM. |
26 Citations | The results show that the sensitivity is affected by the number of the layers and the number of the neurons adopted in each layer. |
44 Citations | Their number and size indicated that these were the LGN projection neurons. |