tf.contrib.nn.alpha_dropout
Computes alpha dropout.
tf.contrib.nn.alpha_dropout(
x, keep_prob, noise_shape=None, seed=None, name=None
)
Alpha Dropout is a dropout that maintains the self-normalizing property. For an input with zero mean and unit standard deviation, the output of Alpha Dropout maintains the original mean and standard deviation of the input.
See Self-Normalizing Neural Networks
| Args | |
|---|---|
x |
A tensor. |
keep_prob |
A scalar Tensor with the same type as x. The probability that each element is kept. |
noise_shape |
A 1-D Tensor of type int32, representing the shape for randomly generated keep/drop flags. |
seed |
A Python integer. Used to create random seeds. See tf.compat.v1.set_random_seed for behavior. |
name |
A name for this operation (optional). |
| Returns | |
|---|---|
A Tensor of the same shape of x. |
| Raises | |
|---|---|
ValueError |
If keep_prob is not in (0, 1]. |
© 2020 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/versions/r1.15/api_docs/python/tf/contrib/nn/alpha_dropout