tf.random_uniform_initializer

class tf.random_uniform_initializer

See the guide: Variables > Sharing Variables

Initializer that generates tensors with a uniform distribution.

Args:

• minval: A python scalar or a scalar tensor. Lower bound of the range of random values to generate.
• maxval: A python scalar or a scalar tensor. Upper bound of the range of random values to generate. Defaults to 1 for float types.
• seed: A Python integer. Used to create random seeds. See tf.set_random_seed for behavior.
• dtype: The data type.

Methods

__init__(minval=0, maxval=None, seed=None, dtype=tf.float32)

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