tf.keras.backend.random_normal_variable

TensorFlow 1 version View source on GitHub

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