Public API for tf.keras.layers.experimental.preprocessing namespace.
class CategoryCrossing
: Category crossing layer.
class CategoryEncoding
: CategoryEncoding 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 offset
.
class Resizing
: Image resizing layer.
class StringLookup
: Maps strings from a vocabulary to integer indices.
class TextVectorization
: Text vectorization layer.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/compat/v1/keras/layers/experimental/preprocessing