tf_agents.keras_layers.permanent_variable_rate_dropout.PermanentVariableRateDropout
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Applies dropout both in training and serving, with variable dropout rate.
tf_agents.keras_layers.permanent_variable_rate_dropout.PermanentVariableRateDropout(
rate, permanent=False, **kwargs
)
Initialize this layer the same was as keras.layers.Dropout
, with two notable
differences:
--The parameter rate
can also be a callable.
--The extra boolean parameter permanent
. If set to true, dropout will be
applied both in training and inference.
Args |
seed
|
optional integer, used to create RandomGenerator.
|
force_generator
|
boolean, default to False, whether to force the
RandomGenerator to use the code branch of tf.random.Generator.
|
rng_type
|
string, the rng type that will be passed to backend
RandomGenerator. None will allow RandomGenerator to choose
types by itself. Valid values are "stateful", "stateless",
"legacy_stateful". Defaults to None .
|
**kwargs
|
other keyword arguments that will be passed to the parent
*class
|
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Last updated 2024-04-26 UTC.
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