Just looking for an enumeration of techniques to improve the learning of a neural net (except enlarging the training set).
Continuous adjustment of weights.
If training were restricted to a more specific aspect, learning quality should improve
Hi! Just so I understand your question. Also biological brains work with neural networks, but
It is possible to change transfer function (TF), training algorithm(TA), neuron numbers(NN) ...in the hidden layer of the NN so as to effectively build different configuration and obtain robust results.
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