tf.keras.layers.experimental.preprocessing.PreprocessingLayer
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Base class for PreprocessingLayers.
Inherits From: Layer
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.keras.layers.experimental.preprocessing.PreprocessingLayer
tf.keras.layers.experimental.preprocessing.PreprocessingLayer(
trainable=True, name=None, dtype=None, dynamic=False, **kwargs
)
Methods
adapt
View source
@abc.abstractmethod
adapt(
data, reset_state=True
)
Fits the state of the preprocessing layer to the data being passed.
Arguments |
data
|
The data to train on. It can be passed either as a tf.data
Dataset, or as a numpy array.
|
reset_state
|
Optional argument specifying whether to clear the state of
the layer at the start of the call to adapt , or whether to start
from the existing state. This argument may not be relevant to all
preprocessing layers: a subclass of PreprocessingLayer may choose to
throw if 'reset_state' is set to False.
|
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Last updated 2020-10-01 UTC.
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