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tf.keras.activations.sigmoid

TensorFlow 2.0 version View source on GitHub

Sigmoid.

Aliases:

  • tf.compat.v1.keras.activations.sigmoid
  • tf.compat.v2.keras.activations.sigmoid
tf.keras.activations.sigmoid(x)

Applies the sigmoid activation function. The sigmoid function is defined as 1 divided by (1 + exp(-x)). It's curve is like an "S" and is like a smoothed version of the Heaviside (Unit Step Function) function. For small values (<-5) the sigmoid returns a value close to zero and for larger values (>5) the result of the function gets close to 1. Arguments: x: A tensor or variable.

Returns:

A tensor.

Sigmoid activation function.

Arguments:

  • x: Input tensor.

Returns:

The sigmoid activation: (1.0 / (1.0 + exp(-x))).