Classes
class CategoryEncoding: A preprocessing layer which encodes integer features.
class CenterCrop: A preprocessing layer which crops images.
class Discretization: A preprocessing layer which buckets continuous features by ranges.
class HashedCrossing: A preprocessing layer which crosses features using the "hashing trick".
class Hashing: A preprocessing layer which hashes and bins categorical features.
class IntegerLookup: A preprocessing layer which maps integer features to contiguous ranges.
class Normalization: A preprocessing layer which normalizes continuous features.
class PreprocessingLayer: Base class for Preprocessing Layers.
class RandomContrast: A preprocessing layer which randomly adjusts contrast during training.
class RandomCrop: A preprocessing layer which randomly crops images during training.
class RandomFlip: A preprocessing layer which randomly flips images during training.
class RandomHeight: A preprocessing layer which randomly varies image height during training.
class RandomRotation: A preprocessing layer which randomly rotates images during training.
class RandomTranslation: A preprocessing layer which randomly translates images during training.
class RandomWidth: A preprocessing layer which randomly varies image width during training.
class RandomZoom: A preprocessing layer which randomly zooms images during training.
class Rescaling: A preprocessing layer which rescales input values to a new range.
class Resizing: A preprocessing layer which resizes images.
class StringLookup: A preprocessing layer which maps string features to integer indices.
class TextVectorization: A preprocessing layer which maps text features to integer sequences.