Defined in tensorflow/_api/v1/initializers/__init__.py.
Public API for tf.initializers namespace.
Classes
class constant: Initializer that generates tensors with constant values.
class glorot_normal: The Glorot normal initializer, also called Xavier normal initializer.
class glorot_uniform: The Glorot uniform initializer, also called Xavier uniform initializer.
class identity: Initializer that generates the identity matrix.
class ones: Initializer that generates tensors initialized to 1.
class orthogonal: Initializer that generates an orthogonal matrix.
class random_normal: Initializer that generates tensors with a normal distribution.
class random_uniform: Initializer that generates tensors with a uniform distribution.
class truncated_normal: Initializer that generates a truncated normal distribution.
class uniform_unit_scaling: Initializer that generates tensors without scaling variance.
class variance_scaling: Initializer capable of adapting its scale to the shape of weights tensors.
class zeros: Initializer that generates tensors initialized to 0.
Functions
global_variables(...): Returns an Op that initializes global variables.
he_normal(...): He normal initializer.
he_uniform(...): He uniform variance scaling initializer.
lecun_normal(...): LeCun normal initializer.
lecun_uniform(...): LeCun uniform initializer.
local_variables(...): Returns an Op that initializes all local variables.
tables_initializer(...): Returns an Op that initializes all tables of the default graph.
variables(...): Returns an Op that initializes a list of variables.