From: Arash Partow (arash_at_[hidden])
Date: 2008-03-24 17:21:39
Your proposal sounds like a "nice" idea, but wouldn't it be better to generalize
your ANN library into a generic maximum likelihood estimation library - because
at the end of the day that is what an ANN is, nothing more nothing less it would
also provide the users of the library access to other estimation/modeling paradigms,
which is a good thing.
Be one who knows what they don't know,
Instead of being one who knows not what they don't know,
Thinking they know everything about all things.
Milan Rusev wrote:
> I'm an AI student and I'd like to participate in this year's SoC with an
> Artificial Neural Networks library.
> The library will consist of basic elements of a NN: neurons, layers,
> teaching algorithms,
> neuron functions (plus common usages: linear, sigmoid, gaussian,
> It will also include the implementation of some popular NNs: Multilayer
> Perceptron, Hopfield Network, Kohonen Network.
> I know it's a bit of a high level library, and I'd like some feedback
> whether it's appropriate for Boost.
> I also have a question. The proposal on the GSoC 2008 page for the
> implementation of Fixed Decimal also sounds appealing to me.
> So should I choose one project and apply for it or should I apply for both
> of them separately?
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