[Sugar-devel] To Cameron: ML idea discussion

[James Cameron]

Thanks.  Are there standard measures of hardware performance you could
use as estimates?  Measurement units change over time.  At the moment
I'm most familiar with Geekbench multi-core processor scores.

On Thu, Mar 28, 2019 at 09:09:53AM +0200, Ahmed ElSabbagh wrote:
> 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 <[1]quozl at laptop.org> wrote:
> 
>     Godo discussion, thanks.
> 
>     In addition to hardware limits, also try to avoid requiring internet
>     access.
> 
>     --
>     James Cameron
>     [2]http://quozl.netrek.org/
>     _______________________________________________
>     Sugar-devel mailing list
>     [3]Sugar-devel at lists.sugarlabs.org
>     [4]http://lists.sugarlabs.org/listinfo/sugar-devel
> 
> References:
> 
> [1] mailto:quozl at laptop.org
> [2] http://quozl.netrek.org/
> [3] mailto:Sugar-devel at lists.sugarlabs.org
> [4] http://lists.sugarlabs.org/listinfo/sugar-devel

-- 
James Cameron
http://quozl.netrek.org/