Translations:Neural Networks/14/en: Difference between revisions
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Latest revision as of 23:34, 27 April 2026
where $ g $ and $ f $ are activation functions, $ \mathbf{W}_1, \mathbf{W}_2 $ are weight matrices, and $ \mathbf{b}_1, \mathbf{b}_2 $ are bias vectors. The hidden layer enables the network to learn nonlinear relationships that a single perceptron cannot capture.