Keras initializer serialization / deserialization.

`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.

`deserialize(...)`

: Return an `Initializer`

object from its config.

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Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/initializers