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I still don't know what are neural net "parameters".

inputs+outputs? Number of neurons+synapes?




Synapse weights.


How are they distributed? How many neurons levels? And still, how many inputs and outputs has their neural net?

Well, how are they "connected"? Their topology?


Loot into "transformers". They're the architecture everybody is using these days; and it's relatively simple.


Unable to get a bird eye of the connectome with those transformers.

Something is not right here.


That is confidential information.




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