About Keras Getting started Developer guides Keras 3 API documentation Models API Layers API The base Layer class Layer activations Layer weight initializers Layer weight regularizers Layer weight constraints Core layers Convolution layers Pooling layers Recurrent layers Preprocessing layers Normalization layers Regularization layers Attention layers Reshaping layers Merging layers Activation layers Backend-specific layers Callbacks API Ops API Optimizers Metrics Losses Data loading Built-in small datasets Keras Applications Mixed precision Multi-device distribution RNG API Utilities KerasTuner KerasCV KerasNLP KerasHub Keras 2 API documentation Code examples KerasTuner: Hyperparameter Tuning KerasHub: Pretrained Models KerasCV: Computer Vision Workflows KerasNLP: Natural Language Workflows
► Keras 3 API documentation / Layers API / Preprocessing layers

Preprocessing layers

Text preprocessing

  • TextVectorization layer

Numerical features preprocessing layers

  • Normalization layer
  • Spectral Normalization layer
  • Discretization layer

Categorical features preprocessing layers

  • CategoryEncoding layer
  • Hashing layer
  • HashedCrossing layer
  • StringLookup layer
  • IntegerLookup layer

Image preprocessing layers

  • Resizing layer
  • Rescaling layer
  • CenterCrop layer
  • AutoContrast layer

Image augmentation layers

  • RandomCrop layer
  • RandomFlip layer
  • RandomTranslation layer
  • RandomRotation layer
  • RandomZoom layer
  • RandomContrast layer
  • RandomBrightness layer
  • Solarization layer
  • Pipeline layer

Audio preprocessing layers

  • MelSpectrogram layer
Preprocessing layers
Text preprocessing
Numerical features preprocessing layers
Categorical features preprocessing layers
Image preprocessing layers
Image augmentation layers
Audio preprocessing layers
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