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Sigmoid

concept · part of Activation Functions

The sigmoid function is an activation function that maps input values to a range between 0 and 1, often used in binary classification. It is historically popular but can suffer from vanishing gradients in deep networks.

Inside Sigmoid (1)

• Sigmoid Activation — Sigmoid activation is used in the output layer for binary classification, outputting a probability between 0 and 1.

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