tf.truncated_normal_initializer

class tf.truncated_normal_initializer

See the guide: Variables > Sharing Variables

Initializer that generates a truncated normal distribution.

These values are similar to values from a random_normal_initializer except that values more than two standard deviations from the mean are discarded and re-drawn. This is the recommended initializer for neural network weights and filters.

Args:

• mean: a python scalar or a scalar tensor. Mean of the random values to generate.
• stddev: a python scalar or a scalar tensor. Standard deviation of the random values to generate.
• seed: A Python integer. Used to create random seeds. See tf.set_random_seed for behavior.
• dtype: The data type. Only floating point types are supported.

Methods

__init__(mean=0.0, stddev=1.0, seed=None, dtype=tf.float32)

Defined in tensorflow/python/ops/init_ops.py.