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| data_mining:neural_network:loss_functions [2019/11/10 00:04] – [Binary cross entropy] phreazer | data_mining:neural_network:loss_functions [2019/11/10 00:10] – [Binary cross entropy] phreazer | ||
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| $D_{KL}(q||p) = H_p(q) - H(q) = \sum_{c=1}^C q(y_c) (log(q(y_c) - log(p(y_c)))$ | $D_{KL}(q||p) = H_p(q) - H(q) = \sum_{c=1}^C q(y_c) (log(q(y_c) - log(p(y_c)))$ | ||
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| + | For an algo we need to find closes $p$ for $q$ by minimizing cross-entropy. | ||