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Base class for PreprocessingLayers.
Inherits From: Layer
tf.keras.layers.experimental.preprocessing.PreprocessingLayer(
trainable=True, name=None, dtype=None, dynamic=False, **kwargs
)
Methods
adapt
@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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