Since the artificial neuron is the basic component, structural element or computing unit of the network I need an explanation that is comprehensive enough to be able to progress to an understanding of how an artificial neural network learns regarding further complexities such as the technique you mentioned of back propagation.
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This was a return to the idea of providing a small, user-friendly, simulator that was designed with the novice in mind . tLearn allowed basic feed forward networks, along with simple recurrent networks, both of which can be trained by the simple back propagation algorithm . tLearn has not been updated since 1999.
