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
deserialize(...)
: Return an Initializer
object from its config.
he_normal(...)
: He normal initializer.
he_uniform(...)
: He uniform variance scaling initializer.
lecun_normal(...)
: LeCun normal initializer.
lecun_uniform(...)
: LeCun uniform initializer.