tf.keras.backend.random_uniform_variable

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

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

Instantiates a variable with values drawn from a uniform distribution.

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: python # TensorFlow example >>> kvar = K.random_uniform_variable((2,3), 0, 1) >>> kvar <tensorflow.python.ops.variables.Variable object at 0x10ab40b10> >>> K.eval(kvar) array([[ 0.10940075, 0.10047495, 0.476143 ], [ 0.66137183, 0.00869417, 0.89220798]], dtype=float32)