> For the complete documentation index, see [llms.txt](https://deeplearning4j.konduit.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://deeplearning4j.konduit.ai/en-1.0.0-rewrite/model-import/overview-1/layers-convolutional.md). # Convolutional Layers ### Keras Convolutional Layer Import Convolutional layer support is implemented in the [layers/convolutional](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional) package. #### Support Summary | Keras Layer | DL4J Equivalent | Supported | | ------------------- | ---------------------------------- | --------- | | Conv1D | Convolution1DLayer | Yes | | Conv2D | ConvolutionLayer | Yes | | Conv3D | ConvolutionLayer (3D) | Yes | | AtrousConvolution1D | Convolution1DLayer (with dilation) | Yes | | AtrousConvolution2D | ConvolutionLayer (with dilation) | Yes | | SeparableConv1D | — | No | | SeparableConv2D | SeparableConvolution2DLayer | Yes | | DepthwiseConv2D | DepthwiseConvolution2DLayer | Yes | | Conv2DTranspose | Deconvolution2DLayer | Yes | | Conv3DTranspose | — | No | | Cropping1D | Cropping1DLayer | Yes | | Cropping2D | Cropping2DLayer | Yes | | Cropping3D | Cropping3DLayer | Yes | | UpSampling1D | Upsampling1DLayer | Yes | | UpSampling2D | Upsampling2DLayer | Yes | | UpSampling3D | Upsampling3DLayer | Yes | | ZeroPadding1D | ZeroPadding1DLayer | Yes | | ZeroPadding2D | ZeroPaddingLayer | Yes | | ZeroPadding3D | ZeroPadding3DLayer | Yes | *** ### KerasConvolution2D [source](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution2D.java) Imports a Keras Conv2D layer as a DL4J `ConvolutionLayer`. **Constructor** ```java public KerasConvolution2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException ``` Pass-through constructor. `kerasVersion` is the major Keras version (1 or 2). **getConvolution2DLayer** ```java public ConvolutionLayer getConvolution2DLayer() ``` Returns the DL4J `ConvolutionLayer`. **getOutputType** ```java public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException ``` *** ### KerasConvolution1D [source](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution1D.java) Imports a Keras Conv1D layer as a DL4J `Convolution1DLayer`. **Constructor** ```java public KerasConvolution1D(Integer kerasVersion) throws UnsupportedKerasConfigurationException ``` **getConvolution1DLayer** ```java public Convolution1DLayer getConvolution1DLayer() ``` **getInputPreprocessor** ```java public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException ``` **setWeights** ```java public void setWeights(Map weights) throws InvalidKerasConfigurationException ``` *** ### KerasConvolution3D [source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution3D.java) Imports a Keras Conv3D layer as a DL4J 3D `ConvolutionLayer`. *** ### KerasAtrousConvolution1D / KerasAtrousConvolution2D [source 1D](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution1D.java) | [source 2D](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution2D.java) Imports Keras 1.x AtrousConvolution (dilated convolution) layers. In Keras 2, dilation is specified via the `dilation_rate` argument of standard Conv layers; the importer handles both representations. ```java public KerasAtrousConvolution2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException ``` *** ### KerasSeparableConvolution2D [source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSeparableConvolution2D.java) Imports a Keras SeparableConv2D layer as a DL4J `SeparableConvolution2DLayer`. Depthwise and pointwise weight tensors are loaded separately from the HDF5 file. ```java public KerasSeparableConvolution2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException ``` *** ### KerasDeconvolution2D (Conv2DTranspose) [source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDeconvolution2D.java) Imports a Keras `Conv2DTranspose` layer as a DL4J `Deconvolution2DLayer`. ```java public KerasDeconvolution2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException ``` *** ### Cropping Layers #### KerasCropping1D [source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping1D.java) ```java public KerasCropping1D(Map layerConfig) throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException ``` #### KerasCropping2D [source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping2D.java) ```java public KerasCropping2D(Map layerConfig) throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException public Cropping2D getCropping2DLayer() ``` #### KerasCropping3D [source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping3D.java) *** ### Upsampling Layers #### KerasUpsampling1D [source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling1D.java) ```java public KerasUpsampling1D(Map layerConfig) throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException public Upsampling1D getUpsampling1DLayer() ``` #### KerasUpsampling2D [source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling2D.java) ```java public Upsampling2D getUpsampling2DLayer() ``` #### KerasUpsampling3D [source](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling3D.java) ```java public Upsampling3D getUpsampling3DLayer() ``` *** ### Zero Padding Layers #### KerasZeroPadding1D [source](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding1D.java) ```java public KerasZeroPadding1D(Map layerConfig) throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException ``` #### KerasZeroPadding2D [source](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding2D.java) ```java public ZeroPaddingLayer getZeroPadding2DLayer() ``` #### KerasZeroPadding3D [source](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding3D.java) ```java public ZeroPadding3DLayer getZeroPadding3DLayer() ``` *** ### Notes * **Data format**: Keras defaults to channels-last (`NHWC`). DL4J uses channels-first (`NCHW`) internally. The importer transposes weight tensors during loading so you do not need to manually convert weights. * **SeparableConv1D**: not supported. Use `Conv1D` with `groups` if available in your Keras version, or restructure the model. * **Conv3DTranspose**: no DL4J equivalent at this time. * **Dilation**: both the legacy `AtrousConvolution` names (Keras 1) and the `dilation_rate` argument (Keras 2) on standard Conv layers are handled transparently. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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