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Getting started Developer guides Code examples 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 Tree API Built-in small datasets Keras Applications Mixed precision Multi-device distribution RNG API Quantizers Scope Rematerialization Utilities Keras 2 API documentation KerasTuner: Hyperparam Tuning KerasHub: Pretrained Models KerasRS
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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 Tree API Built-in small datasets Keras Applications Mixed precision Multi-device distribution RNG API Quantizers Scope Rematerialization Utilities
Keras 2 API documentation
► Keras 3 API documentation / Layers API / Core layers

Core layers

Input object

  • Input function

InputSpec object

  • InputSpec class

Dense layer

  • Dense class

EinsumDense layer

  • EinsumDense class

Activation layer

  • Activation class

Embedding layer

  • Embedding class
  • ReversibleEmbedding class

Masking layer

  • Masking class

Lambda layer

  • Lambda class

Identity layer

  • Identity class
Core layers
Input object
InputSpec object
Dense layer
EinsumDense layer
Activation layer
Embedding layer
Masking layer
Lambda layer
Identity layer
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