Re: Finding useful functions- part 1
From: Wolf Kirchmeir (wwolfkir_at_sympatico.ca)
Date: 10/30/04
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Date: Sat, 30 Oct 2004 12:31:25 -0400
Stargazer wrote:
> Stephen Harris wrote:
>
>>Supervised learning means there are external constraints applied
>>to the processing of the network while it is processing which
>>influences the eventual output.
>>
>>Unsupervised learning means that the network does not receive
>>external inputs while it is processing. The processing works only
>>with the internal structure of the network, then produces output.
>
>
> Just a small observation here. In unsupervised learning, the network
> in fact receives external input (otherwise it would not do much). It
> does not receive a user-supplied output (training signals or training
> sets) with which to compare its own output in order to derive error
> correction. Supervised systems, on the other hand, receive this
> user-supplied sets, which is employed (usually) as an error correction
> to be back-fed (at least in traditional multilayer perceptrons).
>
>
If that is the case, the supervised ans unsupervised NNs must have
different architectures. Or so it seems to me. In that case, supervised
NNs must contain unsupervised sub-NNs. Or?
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