On the extent of simplifications in backpropagation training equations

Usually the simplified form of the backpropagation training equations are used instead of the original equations for training of neural networks. The validity of these simplifications and the extent to which these methods can operate is explored. It is shown that although these methods can reduce the time and complexity of computations carried out during training, their effectiveness is problem dependent.<
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