tf.keras.backend.random_normal_variable

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Instantiates a variable with values drawn from a normal distribution.

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:

TensorFlow example

kvar = tf.keras.backend.random_normal_variable((2,3), 0, 1) kvar