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: Maps integers from a vocabulary to integer indices.
class Normalization: Feature-wise normalization of the data.
class PreprocessingLayer: Base class for PreprocessingLayers.
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.
class RandomRotation: Randomly rotate each image.
class RandomTranslation: Randomly translate each image during training.
class RandomWidth: Randomly vary the width of a batch of images during training.
class RandomZoom: Randomly zoom each image during training.
class Rescaling: Multiply inputs by
scale and adds
class Resizing: Image resizing layer.
class StringLookup: Maps strings from a vocabulary to integer indices.
class TextVectorization: Text vectorization layer.
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.