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tf.keras.backend.random_uniform_variable

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Instantiates a variable with values drawn from a uniform distribution.

Aliases:

  • tf.compat.v1.keras.backend.random_uniform_variable
  • tf.compat.v2.keras.backend.random_uniform_variable
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:

    # 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)