| View source on GitHub |
Outputs random values from a truncated normal distribution.
tf.random.truncated_normal(
shape, mean=0.0, stddev=1.0, dtype=tf.dtypes.float32, seed=None, name=None
)
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 type dtype. The mean of the truncated normal distribution. |
stddev | A 0-D Tensor or Python value of type dtype. The standard deviation of the normal distribution, before truncation. |
dtype | The type of the output. |
seed | A Python integer. Used to create a random seed for the distribution. See tf.random.set_seed for behavior. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
| A tensor of the specified shape filled with random truncated normal values. |
© 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/r2.3/api_docs/python/tf/random/truncated_normal