Defined in tensorflow/_api/v1/keras/initializers/__init__.py.
Keras initializer serialization / deserialization.
Classes
class Constant: Initializer that generates tensors with constant values.
class Identity: Initializer that generates the identity matrix.
class Initializer: Initializer base class: all initializers inherit from this class.
class Ones: Initializer that generates tensors initialized to 1.
class Orthogonal: Initializer that generates an orthogonal matrix.
class RandomNormal: Initializer that generates tensors with a normal distribution.
class RandomUniform: Initializer that generates tensors with a uniform distribution.
class TruncatedNormal: Initializer that generates a truncated normal distribution.
class VarianceScaling: Initializer capable of adapting its scale to the shape of weights tensors.
class Zeros: Initializer that generates tensors initialized to 0.
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 normal: Initializer that generates tensors with a normal distribution.
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: Initializer that generates tensors with a uniform distribution.
class zeros: Initializer that generates tensors initialized to 0.
Functions
he_normal(...): He normal initializer.
he_uniform(...): He uniform variance scaling initializer.
lecun_normal(...): LeCun normal initializer.
lecun_uniform(...): LeCun uniform initializer.