tf.keras.layers.GaussianDropout

Apply multiplicative 1-centered Gaussian noise.

Inherits From: Layer, Operation

tf.keras.layers.GaussianDropout(
    rate, seed=None, **kwargs
)

As it is a regularization layer, it is only active at training time.

rate Float, drop probability (as with Dropout). The multiplicative noise will have standard deviation sqrt(rate / (1 - rate)). seed Integer, optional random seed to enable deterministic behavior.

inputs Input tensor (of any rank). training Python boolean indicating whether the layer should behave in training mode (adding dropout) or in inference mode (doing nothing).

input Retrieves the input tensor(s) of a symbolic operation.

Only returns the tensor(s) corresponding to the first time the operation was called. output Retrieves the output tensor(s) of a layer.

Only returns the tensor(s) corresponding to the first time the operation was called.

Methods

from_config

View source

@classmethod
from_config(
    config
)

Creates a layer from its config.

This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights).

Args

config A Python dictionary, typically the output of get_config.

Returns
A layer instance.

symbolic_call

View source

symbolic_call(
    *args, **kwargs
)