tf.keras.backend.random_normal_variable

Instantiates a variable with values drawn from a normal distribution.

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tf.compat.v1.keras.backend.random_normal_variable

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.

Example:

kvar = tf.keras.backend.random_normal_variable(shape=(2,3),
mean=0.0, scale=1.0)
kvar
<tf.Variable &#x27;Variable:0' shape=(2, 3) dtype=float32, numpy=...,
dtype=float32)>