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tf.sigmoid

Aliases:

  • tf.nn.sigmoid
  • tf.sigmoid
tf.sigmoid(
    x,
    name=None
)

Defined in tensorflow/python/ops/math_ops.py.

See the guide: Neural Network > Activation Functions

Computes sigmoid of x element-wise.

Specifically, y = 1 / (1 + exp(-x)).

Args:

  • x: A Tensor with type float16, float32, float64, complex64, or complex128.
  • name: A name for the operation (optional).

Returns:

A Tensor with the same type as x.

Numpy Compatibility

Equivalent to np.scipy.special.expit

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/sigmoid