/sci/ - Science & Math » Thread #11326286

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Anonymous Fri 24 Jan 00:50:24 2020 No.11326286 View Reply Original Report

Quoted By: >>11326288 >>11326329 >>11326348 >>11326419 >>11326429

Can an artificial neural network be trained to identify bijective, injective, and surjective functions?

Anonymous

Anonymous Fri 24 Jan 2020 00:53:15 No.11326288 Report

Quoted By: >>11326329

>>11326286
If the functions are just presented as a sequence of ordered pairs of natural numbers? Yes, it should be doable.

Anonymous

Anonymous Fri 24 Jan 2020 01:21:13 No.11326329 Report

Quoted By:

>>11326286
>>11326288
why would you do that though when writing the trivial algorithm takes less time and far less resources than setting up any kind of ai system

Anonymous

Anonymous Fri 24 Jan 2020 01:29:10 No.11326348 Report

Quoted By: >>11326371

>>11326286
Do you mean given like a function expressed symbolically? like "f(x) = sin(x)+cos(x)+3x"

Anonymous

Anonymous Fri 24 Jan 2020 01:38:24 No.11326371 Report

Quoted By:

>>11326348
that's obviously a no because that's undecidable

Anonymous

Anonymous Fri 24 Jan 2020 01:57:22 No.11326419 Report

Quoted By:

>>11326286
No.

Anonymous

Anonymous Fri 24 Jan 2020 02:00:50 No.11326429 Report

Quoted By: >>11326434 >>11326445

>>11326286
considering humans are just artificial neural networks but scaled up, the answer is yes

Anonymous

Anonymous Fri 24 Jan 2020 02:02:13 No.11326434 Report

Quoted By:

>>11326429
>considering humans are just artificial neural networks but scaled up
cringe and basedpilled

Anonymous

Anonymous Fri 24 Jan 2020 02:02:41 No.11326437 Report

Quoted By:

Theoretically yes but practically neural networks are just simulations.

Anonymous

Anonymous Fri 24 Jan 2020 02:03:40 No.11326445 Report

Quoted By:

>>11326429
>considering humans are just artificial neural networks but scaled up
cringe and so ypilled

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