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Classes
class Constant: Initializer that generates tensors with constant values.
class GlorotNormal: The Glorot normal initializer, also called Xavier normal initializer.
class GlorotUniform: The Glorot uniform initializer, also called Xavier uniform initializer.
class HeNormal: He normal initializer.
class HeUniform: He uniform variance scaling initializer.
class Identity: Initializer that generates the identity matrix.
class IdentityInitializer: Initializer that generates the identity matrix.
class Initializer: Initializer base class: all Keras initializers inherit from this class.
class LecunNormal: Lecun normal initializer.
class LecunUniform: Lecun uniform initializer.
class Ones: Initializer that generates tensors initialized to 1.
class Orthogonal: Initializer that generates an orthogonal matrix.
class OrthogonalInitializer: Initializer that generates an orthogonal matrix.
class RandomNormal: Random normal initializer.
class RandomUniform: Random uniform initializer.
class TruncatedNormal: Initializer that generates a truncated normal distribution.
class VarianceScaling: Initializer that adapts its scale to the shape of its input 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 he_normal: He normal initializer.
class he_uniform: He uniform variance scaling initializer.
class identity: Initializer that generates the identity matrix.
class lecun_normal: Lecun normal initializer.
class lecun_uniform: Lecun uniform initializer.
class ones: Initializer that generates tensors initialized to 1.
class orthogonal: Initializer that generates an orthogonal matrix.
class random_normal: Random normal initializer.
class random_uniform: Random uniform initializer.
class truncated_normal: Initializer that generates a truncated normal distribution.
class variance_scaling: Initializer that adapts its scale to the shape of its input tensors.
class zeros: Initializer that generates tensors initialized to 0.
Functions
deserialize(...): Returns a Keras initializer object via its configuration.
get(...): Retrieves a Keras initializer object via an identifier.
serialize(...): Returns the initializer configuration as a Python dict.