tf.keras.backend.random_normal_variable

Instantiates a variable with values drawn from a normal distribution.

Compat aliases for migration

See Migration guide for more details.

tf.keras.backend.random_normal_variable(
    shape, mean, scale, dtype=None, name=None, seed=None
)

Arguments
`shape`	Tuple of integers, shape of returned Keras variable.
`mean`	Float, mean of the normal distribution.
`scale`	Float, standard deviation of the normal distribution.
`dtype`	String, dtype of returned Keras variable.
`name`	String, name of returned Keras variable.
`seed`	Integer, random seed.

Returns
A Keras variable, filled with drawn samples.

kvar = tf.keras.backend.random_normal_variable((2,3), 0, 1)
kvar
<tf.Variable 'Variable:0' shape=(2, 3) dtype=float32, numpy=...,
dtype=float32)>

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Last updated 2020-10-01 UTC.

Arguments