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Cost Function for Neural Networks The cost function for a neural network extends the logistic regression cost to handle multiple output units. Define: (L): total number of layers (s_l): number of units (excluding bias) in layer (l) (K): number of output units (classes) For a binary classification (K=1), the hypothesis (h_\Theta(x)) is a scala ...