[Sugar-devel] To Cameron: ML idea discussion

Ahmed ElSabbagh ahmed.h.elsabbagh at gmail.com
Thu Mar 28 03:09:53 EDT 2019


As for hardware, I am not sure how strong should it be to run a training
model for Neural Network or any other classifier.

As for internet access, the training can be done offline no problem, it can
be slow depending on the size of the data set they add, it could be a
feature to try predict or estimate the amount of time it will take them
given a minimum hardware specification, the problem however will be the
lack of pictures to use, so a minimum number of photos and categories can
be provided offline at any given time, with other pictures and categories
available downloadable whenever internet is available.

On Thu, 28 Mar 2019 at 02:41, James Cameron <quozl at laptop.org> wrote:

> Godo discussion, thanks.
>
> In addition to hardware limits, also try to avoid requiring internet
> access.
>
> --
> James Cameron
> http://quozl.netrek.org/
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> Sugar-devel mailing list
> Sugar-devel at lists.sugarlabs.org
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>
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