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I need an extension on the project
You do not need any knowledge of neural networks, (but good c# skills) but if you do mention it, it may be a bonus.
you can use one of the samples coming with the above neural network library as a basis and add some simple functionality to it.
Most likely the Back Propagation -> Approximation sample is best to use.
I need a working sample code that can train the neural network in a flexible way.
also we need to be able to save & load the state of the (trained) network (and its configuration, number of inputs, number of layers, etc).
and obviously we need to get new results of the network with new (untrained) data after training.
some statistics that are in the library & sample like the error after training.
As in the Multilayer Aproximation sample we need to be able to set the parameters ( LearningRate, momentum , sigmoidAlphaValue , neurons In First Layer , iterations)
or if you can automate it to get the best results, even better (m...
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