On Wed, Mar 6, 2019 at 8:57 AM Mohammed Elmusrati
<address@hidden <mailto:address@hidden>>
wrote:
Hi,
Yes, I totally agree.. Machine learning is state of the art now
and it would be great to develop more functions to support this
extremely important area. Since I use Octave in my Machine
Learning course, I have written few functions for my students to
implement ANN for example. They work fine under Octave as well as
Matlab. But there are not similar to Matlab ANN toolbox structure.
I may add them to Github so wider range of users may use them.
Question: Is it necessary for the developed packages to be
identical as Matlab toolboxes? Is it possible to have Octave style
CNN or Deep learning packages?
Thank you
M. Elmusrati
About being Identical to matlab:
If we are not the same as matlab, then we will get a lot of complaints
like " My code works on matlab but not on octave"
But we can have more features and different features (better) than matlab.
So we should try and minimize the complaints but still have unique and
better code.
Just my 2C worth.
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for Windows 10
*From: *vrozos <mailto:address@hidden>
*Sent: *Wednesday, March 6, 2019 3:40 PM
*To: address@hidden <mailto:address@hidden>
*Subject: *Working on nnet package
The development of the NNET package by the original author,
Michael Schmid,
stopped in 2010. Three years ago Francesco Faccio [1] volunteered to
continue the development. However, NNET is still stuck on version
0.1.13,
Last Release Date: 2010-12-02. As a result, the recent changes in
Octave and
the deprecation of some functions (e.g. finite) have render this
package
broken. This is a shame. NNET is not state of the art, but it is
the only
readily available option for NN in Octave. Currently, it is
useless to the
average Octave user only because of some very minor issues.
I would like to contribute to this package doing some minor
development
regarding the amount of work, but critical regarding the
functionality (e.g.
replace deprecated functions and symbols, improve documents, etc.).
I am familiar with Mercurial and Github, but I don't know how
Sourceforge
works.
Regards
Evangelos Rozos
[1]
http://octave.1599824.n4.nabble.com/Working-on-nnet-package-td4681048.html
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