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:

# 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)