Aliases:
tf.random.truncated_normal
tf.truncated_normal
tf.random.truncated_normal(
shape,
mean=0.0,
stddev=1.0,
dtype=tf.dtypes.float32,
seed=None,
name=None
)
Defined in tensorflow/python/ops/random_ops.py
.
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 normal distribution, before truncation.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.