tf.random_normal_initializer

class tf.random_normal_initializer

See the guide: Variables > Sharing Variables

Initializer that generates tensors with a normal distribution.

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.