On the antiderivatives of xp/(1 − x) with an application to optimize loss functions for classification with neural networks

Supervised learning in neural nets means optimizing synaptic weights W such that outputs y ( x ; W ) for inputs x match as closely as possible the corresponding targets t from the training data set. This optimization means minimizing a loss function L ( W ) that usually motivates from maximum-likeli...

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