tf.random.stateless_truncated

TensorFlow 1 version

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Outputs random values from a truncated normal distribution.

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Compat aliases for migration

See Migration guide for more details.

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

tf.random.truncated_normal(
    shape, mean=0.0, stddev=1.0, dtype=tf.dtypes.float32, seed=None, name=None
)

Used in the notebooks

Used in the guide
Ragged tensors

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.

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tf.random / stateless_truncated_normal

View aliases

Used in the notebooks

Args

Returns