TensorFlow 1 version
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Instantiates a variable with values drawn from a uniform distribution.
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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:
kvar = tf.keras.backend.random_uniform_variable(shape=(2,3),low=0.0, high=1.0)kvar<tf.Variable 'Variable:0' shape=(2, 3) dtype=float32, numpy=...,dtype=float32)>