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Description:
This framework is designed for artificial neural network creation and use.

The used structure is multi-layer perceptrons (MLP) where each neuron computes either a sigmoid function or the hyperbolic tangent.

Each layer contains a bias neuron which always outputs the value "1"

The weight update is performed with the gradient descent backpropagation algorithm

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