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AI & Machine Learning · Foundational

Sigmoid Function

An S-shaped activation that maps any real number to the range 0 to 1.

Definition

Sigmoid is used for binary classification outputs and gates in LSTMs. In deep hidden layers it causes vanishing gradients because it saturates at extreme values.

Exam tip

Sigmoid for binary output; avoid it in deep hidden layers.

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