tf.random.truncated_normal

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
)

The values are drawn from a normal distribution with specified mean and standard deviation, discarding and re-drawing any samples that are more than two standard deviations from the mean.

Examples:

tf.random.truncated_normal(shape=[2])
<tf.Tensor: shape=(2,), dtype=float32, numpy=array([..., ...], dtype=float32)>

tf.random.truncated_normal(shape=[2], mean=3, stddev=1, dtype=tf.float32)
<tf.Tensor: shape=(2,), dtype=float32, numpy=array([..., ...], dtype=float32)>

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. Restricted to floating-point types: tf.half, tf.float, tf.double, etc.
seed	A Python integer. Used to create a random seed for the distribution. See tf.random.set_seed for more information.
name	A name for the operation (optional).

Returns
A tensor of the specified shape filled with random truncated normal values.