# tf.truncated_normal

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


See the guide: Constants, Sequences, and Random Values > Random Tensors

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 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.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.