Timeline for Understanding of number of cells in layers of sequential models
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Dec 9, 2020 at 10:09 | comment | added | hH1sG0n3 | The number of neurons in the cells, define their size. In other words that means, the larger the number of neurons in a cell, the larger its capacity to carry over "memories" across cells. | |
| Dec 9, 2020 at 7:13 | comment | added | Nikto | I have understood. They interpreted cells like neurons, therefore for now i don't know what are neurons in cells. | |
| Dec 9, 2020 at 6:27 | comment | added | Nikto | @hH1sG0n3, yes, i understand. All tutorials that i found didn't tell about cells if it wasn't LSTM or GRU. They only told about neurons. Could u give me couple of links on right tutorials. I especially appreciate videos. | |
| Dec 8, 2020 at 19:32 | comment | added | hH1sG0n3 | This is a great answer. Nikto simply put, you could say that each RNN cell has a spreadsheet inside of it. The size of that spreadsheet is defined by the units argument in SimpleRNN, and one could portray each box of the spreadsheet as a neuron. | |
| Dec 8, 2020 at 18:16 | comment | added | Nikto | Sorry, but ur explaining is hard. | |
| Dec 8, 2020 at 18:01 | history | edited | noe | CC BY-SA 4.0 |
added 113 characters in body
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| Dec 8, 2020 at 15:47 | history | answered | noe | CC BY-SA 4.0 |