tf.sigmoid
tf.sigmoid
tf.nn.sigmoid
tf.sigmoid
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 typefloat32
,float64
,int32
,complex64
,int64
, orqint32
. -
name
: A name for the operation (optional).
Returns:
A Tensor with the same type as x
if x.dtype != qint32
otherwise the return type is quint8
.
numpy compatibility
Equivalent to np.scipy.special.expit
© 2017 The TensorFlow Authors. All rights reserved.
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