= Quickprop
{wiki=Quickprop}
Quickprop is an algorithm used in training artificial neural networks, particularly for optimizing the weights of the network during the learning process. It is a variant of the backpropagation algorithm, which is commonly employed to minimize the error in predictions made by the network by adjusting its weights through gradient descent techniques. Quickprop improves upon traditional backpropagation by accelerating the convergence of the training process. It achieves this by using a second-order approximation of the error surface, which allows for faster adjustments to the weights.
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