tf.keras.backend.random_uniform_variable(
shape,
low,
high,
dtype=None,
name=None,
seed=None
)
Defined in tensorflow/python/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)