R: [PD] New external on neural networks

[B. Bogart]

Does the training file get opened in C directly by the external, or do
you do the file open part in PD and pass the training data onto the
external?

Generating the training data and feeding it on the fly would seem to be
the most "PD" way.

Personally I can think of no good reason to keep your ann seperate from
Johannes's SOM. Please include examples too! :)

B>

Georg Holzmann wrote:
> Hallo!
>
>
>>My external has one major problem: the training process.
>>It is tricky to fill a file with training patterns but the real problem is
>>that when I train the network using the training file I halt pd until the
>>function returns (see train_on_file function) which can take minutes. This
>>slows down the pc. Is there a way to do it in an asynchronous way?
>>Something
>>like creating a thread? Is out there an example of external using
>>threading?
>
> You could look at the pthread documentation.
>
> Online-Learning would be cool too. Is it supported in FANN?
>
> LG
> Georg
>
>>Davide.
>>
>>
>>
>>>-----Messaggio originale-----
>>>Da: pd-list-bounces at iem.at [mailto:pd-list-bounces at iem.at]
>>>Per conto di IOhannes m zmoelnig
>>>Inviato: domenica 8 maggio 2005 19.09
>>>A: Davide Morelli
>>>Cc: PD list
>>>Oggetto: Re: [PD] New external on neural networks
>>>
>>>Davide Morelli wrote:
>>>
>>>>Hi list,
>>>>I just finished a little external I wrote to use FANN classes in PD.
>>>>It is about multi layered neural networks.
>>>>
>>>>I would like to know who is the author of the ann_som external, I
>>>>think he could be interested in it (for ann_mlp).
>>>
>>>its me.
>>>
>>>i haven't tried your code yet, but if you do not mind, i
>>>would highly appreciate if you would like to include your
>>>external into ann.
>>>
>>>btw, since i haven't done anything to ann within the last 4
>>>years (or so), i wouldn't even mind if you join the
>>>development of ann (or take it
>>>over...)
>>>
>>>the only thing is, that it should remain onder GnuGPL.
>>>
>>>mfg,.a.dr
>>>IOhannes
>>>
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>>>
>>
>>
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>
>
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