tf.random.truncated_normal

Outputs random values from a truncated normal distribution.

View aliases

Compat aliases for migration

tf.compat.v1.random.truncated_normal, tf.compat.v1.truncated_normal, tf.compat.v2.random.truncated_normal

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.compat.v1.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.