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 / Recurrent layers

Recurrent layers

  • LSTM layer
  • LSTM cell layer
  • GRU layer
  • GRU Cell layer
  • SimpleRNN layer
  • TimeDistributed layer
  • Bidirectional layer
  • ConvLSTM1D layer
  • ConvLSTM2D layer
  • ConvLSTM3D layer
  • Base RNN layer
  • Simple RNN cell layer
  • Stacked RNN cell layer
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