tf.keras.backend.random_uniform_variable

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Instantiates a variable with values drawn from a uniform distribution.

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Compat aliases for migration

See Migration guide for more details.

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)