LSTMs have proven to be useful as sequence learning methods, in some cases
outperforming HMMs[1]. But I know that there was some discussion about
removing the HMMs from scikit-learn, so I presume that this and the fact
that they require a more DSL-like configuration would not make them a good
GSOC project.
So I'll take a good look again at the Project Ideeas list.
1. http://www.idsia.ch/~juergen/tpami_2008.pdf
On Wed, Apr 24, 2013 at 5:43 AM, Vlad Niculae <zephy...@gmail.com> wrote:
> Dear Roland,
>
>
> In my opinion the directions in Issam's deep learning proposal are a
> bit better suited for scikit-learn. Our estimators are supposed to be
> black-box and as general as possible with sensible defaults. I don't
> know to what extent recurrent nets can be implemented in such a way.
>
> Could you discuss a bit how recurrent networks with long-short term
> memory would fit in scikit-learn and in what ways they would be
> useful?
>
> As for the Kohonen SOM, for some reason academics in our country
> *love* them, but they had enough time to prove themselves useful and
> apparently have not.
> There was a failed attempt to merge this a while back:
> https://github.com/scikit-learn/scikit-learn/pull/39
>
> In my opinion autoencoders are exciting as a scikit-learn
> contribution. A good design should be figured out to allow sharing of
> low-level code with the MLP.
>
> Yours,
> Vlad
>
> On Sat, Apr 20, 2013 at 12:43 AM, Roland Szabo <rol...@gmail.com> wrote:
> > Hi!
> >
> > I'm a 2nd year student at Babes-Bolyai university in Cluj. I am
> interested
> > in contributing to scikit-learn and in participating in GSOC.
> >
> > I am doing my bachelor's thesis about neural networks and I would to
> > implement some of the most commonly used ones in scikit-learn.
> >
> > I know there are two pull requests about multi-layer perceptrons (one
> from
> > Lars and one from Hannes) and one for Restricted Boltzmann Machines. I
> read
> > that Andreas would like to merge the RBM as soon as possible, but the MLP
> > pull request still has plenty of work left to do.
> >
> > Besides this I would like to implement autoencoders, Kohonen
> Self-Organizing
> > Maps[1] and Long Short Term Memory[2]
> >
> > I have already contributed a three small fixes to scikit-learn (and if
> you
> > have any other issues with which I can help I would be happy to do so).
> >
> > What do you think?
> >
> > --
> > Roland
> > http://rolisz.ro/
> >
> > [1]
> >
> http://www.eicstes.org/EICSTES_PDF/PAPERS/The%20Self-Organizing%20Map%20(Kohonen).pdf
> > [2] http://www.cs.umd.edu/~dmonner/papers/nn2012.pdf
> >
> >
> >
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--
Roland
http://rolisz.ro/
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