TensorFlow 1 version |
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.