Module: tf.keras.initializers

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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.

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.