Public API for tf.initializers namespace.

`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 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_unit_scaling`

: Initializer that generates tensors without scaling variance.

`class variance_scaling`

: Initializer capable of adapting its scale to the shape of weights tensors.

`class zeros`

: Initializer that generates tensors initialized to 0.

`global_variables(...)`

: Returns an Op that initializes global variables.

`he_normal(...)`

: He normal initializer.

`he_uniform(...)`

: He uniform variance scaling initializer.

`lecun_normal(...)`

: LeCun normal initializer.

`lecun_uniform(...)`

: LeCun uniform initializer.

`local_variables(...)`

: Returns an Op that initializes all local variables.

`tables_initializer(...)`

: Returns an Op that initializes all tables of the default graph.

`variables(...)`

: Returns an Op that initializes a list of variables.

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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/r1.15/api_docs/python/tf/compat/v1/initializers