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.
|
TensorFlow 1 version
View source on GitHub