tf.random.truncated_normal

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Outputs random values from a truncated normal distribution.

View aliases

Main aliases

`tf.truncated_normal`

Compat aliases for migration

See Migration guide for more details.

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.