tf.keras.backend.random_uniform_variable

TensorFlow 1 version View source on GitHub

Instantiates a variable with values drawn from a uniform distribution.

tf.keras.backend.random_uniform_variable(
    shape, low, high, dtype=None, name=None, seed=None
)

Arguments:

  • shape: Tuple of integers, shape of returned Keras variable.
  • low: Float, lower boundary of the output interval.
  • high: Float, upper boundary of the output interval.
  • 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_uniform_variable((2,3), 0, 1) 
kvar 
<tf.Variable 'Variable:0' shape=(2, 3) dtype=float32, numpy=..., 
dtype=float32)>