|TensorFlow 1 version||View source on GitHub|
Apply additive zero-centered Gaussian noise.
Compat aliases for migration
See Migration guide for more details.
tf.keras.layers.GaussianNoise( stddev, **kwargs )
This is useful to mitigate overfitting (you could see it as a form of random data augmentation). Gaussian Noise (GS) is a natural choice as corruption process for real valued inputs.
As it is a regularization layer, it is only active at training time.
||Float, standard deviation of the noise distribution.|