|Subject:||Re: Working on nnet package|
|Date:||Wed, 6 Mar 2019 10:14:42 -0500|
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?
Sent from Mail for Windows 10
The development of the NNET package by the original author, Michael Schmid,
stopped in 2010. Three years ago Francesco Faccio  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
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