TensorFlow 1 version
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Keras initializer serialization / deserialization.
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 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 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 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: 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 variance_scaling: Initializer capable of adapting its scale to the shape of weights tensors.
class zeros: Initializer that generates tensors initialized to 0.
Functions
deserialize(...): Return an Initializer object from its config.
get(...): Retrieve a Keras initializer by the identifier.