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cross entropy

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entropy divergence probability distribution likelihood logarithm classification regression optimization gradient loss cost error objective softmax sigmoid activation neuron layer network learning training inference prediction label target weight bias backpropagation stochastic descent convergence overfitting underfitting regularization penalty Kullback Leibler divergence information bit uncertainty surprise expectation summation integral vector matrix tensor scalar category class binary accuracy precision recall metric performance model algorithm parameter hyperparameter epoch batch iteration optimizer momentum learning rate

Last Updated: May 2026•Report an Error

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