tf.keras.backend.random_normal_variable
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)>
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/backend/random_normal_variable