None
Getting started Developer guides Code examples Keras 3 API documentation Keras 2 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 Callbacks API Optimizers Metrics Losses Data loading Built-in small datasets Keras Applications Mixed precision Utilities KerasTuner: Hyperparam Tuning KerasHub: Pretrained Models KerasRS
keras.io logo
  • Get started
  • Guides
  • API
  • Examples
  • Keras Tuner
  • Keras RS
  • Keras Hub
Keras 3 API documentation Keras 2 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 Callbacks API Optimizers Metrics Losses Data loading Built-in small datasets Keras Applications Mixed precision Utilities
► Keras 2 API documentation / Layers API / Convolution layers

Convolution layers

  • Conv1D layer
  • Conv2D layer
  • Conv3D layer
  • SeparableConv1D layer
  • SeparableConv2D layer
  • DepthwiseConv2D layer
  • Conv1DTranspose layer
  • Conv2DTranspose layer
  • Conv3DTranspose layer
Terms
|
Privacy