tf.truncated_normal
tf.truncated_normal
tf.truncated_normal
truncated_normal( shape, mean=0.0, stddev=1.0, dtype=tf.float32, seed=None, name=None )
Defined in tensorflow/python/ops/random_ops.py
.
See the guide: Constants, Sequences, and Random Values > Random Tensors
Outputs random values from a truncated normal distribution.
The generated values follow a normal distribution with specified mean and standard deviation, except that values whose magnitude is more than 2 standard deviations from the mean are dropped and re-picked.
Args:
-
shape
: A 1-D integer Tensor or Python array. The shape of the output tensor. -
mean
: A 0-D Tensor or Python value of typedtype
. The mean of the truncated normal distribution. -
stddev
: A 0-D Tensor or Python value of typedtype
. The standard deviation of the truncated normal distribution. -
dtype
: The type of the output. -
seed
: A Python integer. Used to create a random seed for the distribution. Seetf.set_random_seed
for behavior. -
name
: A name for the operation (optional).
Returns:
A tensor of the specified shape filled with random truncated normal values.
© 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/truncated_normal