tf.keras.backend.random_uniform_variable
Instantiates a variable with values drawn from a uniform distribution.
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)
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Last updated 2020-10-01 UTC.
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