contrib.keras.backend.random_normal_variable
tf.contrib.keras.backend.random_normal_variable
tf.contrib.keras.backend.random_normal_variable
random_normal_variable( shape, mean, scale, dtype=None, name=None, seed=None )
Defined in tensorflow/contrib/keras/python/keras/backend.py
.
Instantiates a variable with values drawn from a normal distribution.
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:
# TensorFlow example >>> kvar = K.random_normal_variable((2,3), 0, 1) >>> kvar <tensorflow.python.ops.variables.Variable object at 0x10ab12dd0> >>> K.eval(kvar) array([[ 1.19591331, 0.68685907, -0.63814116], [ 0.92629528, 0.28055015, 1.70484698]], 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/api_docs/python/tf/contrib/keras/backend/random_normal_variable