tf.keras.backend.random_normal_variable

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

Defined in tensorflow/python/keras/backend.py.

Instantiates a variable with values drawn from a normal distribution.

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: python # TensorFlow example >>> kvar = K.random_normal_variable((2,3), 0, 1) >>> kvar <tensorflow.python.ops.variables.Variable object at 0x10ab12dd0> >>> K.eval(kvar) array([[ 1.19591331, 0.68685907, -0.63814116], [ 0.92629528, 0.28055015, 1.70484698]], dtype=float32)