Instantiates a variable with values drawn from a normal distribution.
tf.keras.backend.random_normal_variable(
shape, mean, scale, dtype=None, name=None, seed=None
)
Arguments |
|---|
shape
|
Tuple of integers, shape of returned Keras variable.
|
mean
|
Float, mean of the normal distribution.
|
scale
|
Float, standard deviation of the normal distribution.
|
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_normal_variable(shape=(2,3),
mean=0.0, scale=1.0)
kvar
<tf.Variable 'Variable:0' shape=(2, 3) dtype=float32, numpy=...,
dtype=float32)>
TensorFlow 1 version
View source on GitHub