Public API for tf.keras.layers.experimental.preprocessing namespace.
class CategoryCrossing: Category crossing layer.
class CategoryEncoding: Category encoding layer.
class CenterCrop: Crop the central portion of the images to target height and width.
class Discretization: Buckets data into discrete ranges.
class Hashing: Implements categorical feature hashing, also known as "hashing trick".
class IntegerLookup: Reindex integer inputs to be in a contiguous range, via a dict lookup.
class Normalization: Feature-wise normalization of the data.
class PreprocessingLayer: Base class for Preprocessing Layers.
class RandomContrast: Adjust the contrast of an image or images by a random factor.
class RandomCrop: Randomly crop the images to target height and width.
class RandomFlip: Randomly flip each image horizontally and vertically.
class RandomHeight: Randomly vary the height of a batch of images during training.