tf.keras.activations.sigmoid  |  TensorFlow v2.16.1 (original) (raw)

tf.keras.activations.sigmoid

Sigmoid activation function.

tf.keras.activations.sigmoid(
    x
)

It is defined as: sigmoid(x) = 1 / (1 + exp(-x)).

For small values (<-5),sigmoid returns a value close to zero, and for large values (>5) the result of the function gets close to 1.

Sigmoid is equivalent to a 2-element softmax, where the second element is assumed to be zero. The sigmoid function always returns a value between 0 and 1.

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Last updated 2024-06-07 UTC.