Module: tf.initializers  |  TensorFlow v2.0.0 (original) (raw)

Module: tf.initializers

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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 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 ones: Initializer that generates tensors initialized to 1.

class orthogonal: Initializer that generates an orthogonal matrix.

class zeros: Initializer that generates tensors initialized to 0.

Functions

deserialize(...): Return an Initializer object from its config.

get(...)

he_normal(...): He normal initializer.

he_uniform(...): He uniform variance scaling initializer.

lecun_normal(...): LeCun normal initializer.

lecun_uniform(...): LeCun uniform initializer.

serialize(...)