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[Solved]: Is it possible to implement a Neural Network using a graph data structure?

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Problem Detail: 

I'm trying to implement a feedforward neural network using a graph. The thing is: I haven't found any example in which is used a graph data structure. So far the examples I've found used arrays.

Can anyone please point me in the direction of some literature on the topic or some tutorial?

Asked By : m-oliv

Answered By : user13675

Many implementations you can find out in the web are done on matrices (MATLAB for instance) since it provides a compact notation. Haykin's textbook on neural networks takes this approach. Matrices also provide a simple translation to hardware design (FPGA, ASIC, etc.). They are also more often implemented on the FPU.

If you implement a neural network in an object oriented manner, you are effectively doing what your question asks: implementing a neural network on a graph. Your neurons are then objects that have relations with each others. There are a few books that take that approach. One I can think of is an undergrad level book by Renard called Réseaux de neurones (sorry, only in French).

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Question Source : http://cs.stackexchange.com/questions/29008

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