[Scilab-Dev] Machine Learning Toolbox

[Amanda Osvaldo]

A Idea.
Bindings for Machine Learning Frameworks, not necessary a Full Machine
Learning implementation.
Intel, for example, in GitHub have a optimized Theano implementation
for Intel Xeon and Intel Xeon Phi processors.https://github.com/intel/T
heano
Bind SciLab with a Full and Optimized Machine Learning Implementation
can allow users to use Scilab from the prototyping to the deploy of the
production software.
-- Amanda Osvaldo

On Wed, 2017-04-26 at 14:32 -0300, Caio Souza wrote:
> Hi,
> 
> I have been thinking about the usability of the toolbox and
> independent of which algorithms we are going to have, would be
> interesting to have some simplified structure (like TensorFlow).
> 
> Despite it being a lot of work to have such structure, (data, model,
> cost function, minimizer), it would make the toolbox easy to use and
> extend, having minimum impact to the usability.
> 
> IMHO, this is something that should be defined before any coding
> starts, and also well explained to the student.
> 
> I would like to hear from you what do you think, so we can start a
> discussion.
> 
> 
> Best,
> Caio SOUZA
> 
> _______________________________________________
> dev mailing list
> dev at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/dev
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.scilab.org/pipermail/dev/attachments/20170426/37cbd18e/attachment.htm>