Uses of Class
org.deeplearning4j.nn.conf.ConvolutionMode

Packages that use ConvolutionMode

Package	Description
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.layers.convolution
org.deeplearning4j.nn.layers.convolution.subsampling
org.deeplearning4j.nn.transferlearning
org.deeplearning4j.util

Uses of ConvolutionMode in org.deeplearning4j.nn.conf

Fields in org.deeplearning4j.nn.conf declared as ConvolutionMode

Modifier and Type	Field and Description
protected ConvolutionMode	NeuralNetConfiguration.Builder.convolutionMode

Methods in org.deeplearning4j.nn.conf that return ConvolutionMode

Modifier and Type	Method and Description
static ConvolutionMode	ConvolutionMode.valueOf(String name) Returns the enum constant of this type with the specified name.
static ConvolutionMode[]	ConvolutionMode.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.deeplearning4j.nn.conf with parameters of type ConvolutionMode

Modifier and Type	Method and Description
NeuralNetConfiguration.Builder	NeuralNetConfiguration.Builder.convolutionMode(ConvolutionMode convolutionMode)

Uses of ConvolutionMode in org.deeplearning4j.nn.conf.layers

Fields in org.deeplearning4j.nn.conf.layers declared as ConvolutionMode

Modifier and Type	Field and Description
protected ConvolutionMode	SubsamplingLayer.convolutionMode
protected ConvolutionMode	SubsamplingLayer.BaseSubsamplingBuilder.convolutionMode
protected ConvolutionMode	ConvolutionLayer.convolutionMode
protected ConvolutionMode	ConvolutionLayer.BaseConvBuilder.convolutionMode

Methods in org.deeplearning4j.nn.conf.layers with parameters of type ConvolutionMode

Modifier and Type	Method and Description
T	SubsamplingLayer.BaseSubsamplingBuilder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
ConvolutionLayer.Builder	ConvolutionLayer.Builder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
T	ConvolutionLayer.BaseConvBuilder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
static InputType	InputTypeUtil.getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding, ConvolutionMode convolutionMode, int outputDepth, int layerIdx, String layerName, Class<?> layerClass)

Uses of ConvolutionMode in org.deeplearning4j.nn.layers.convolution

Fields in org.deeplearning4j.nn.layers.convolution declared as ConvolutionMode

Modifier and Type	Field and Description
protected ConvolutionMode	ConvolutionLayer.convolutionMode

Methods in org.deeplearning4j.nn.layers.convolution with parameters of type ConvolutionMode

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	ConvolutionHelper.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray weights, org.nd4j.linalg.api.ndarray.INDArray delta, int[] kernel, int[] strides, int[] pad, org.nd4j.linalg.api.ndarray.INDArray biasGradView, org.nd4j.linalg.api.ndarray.INDArray weightGradView, org.nd4j.linalg.activations.IActivation afn, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.BwdFilterAlgo bwdFilterAlgo, ConvolutionLayer.BwdDataAlgo bwdDataAlgo, ConvolutionMode convolutionMode)
org.nd4j.linalg.api.ndarray.INDArray	ConvolutionHelper.preOutput(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray weights, org.nd4j.linalg.api.ndarray.INDArray bias, int[] kernel, int[] strides, int[] pad, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.FwdAlgo fwdAlgo, ConvolutionMode convolutionMode)

Uses of ConvolutionMode in org.deeplearning4j.nn.layers.convolution.subsampling

Fields in org.deeplearning4j.nn.layers.convolution.subsampling declared as ConvolutionMode

Modifier and Type	Field and Description
protected ConvolutionMode	SubsamplingLayer.convolutionMode

Methods in org.deeplearning4j.nn.layers.convolution.subsampling with parameters of type ConvolutionMode

Modifier and Type	Method and Description
org.nd4j.linalg.api.ndarray.INDArray	SubsamplingHelper.activate(org.nd4j.linalg.api.ndarray.INDArray input, boolean training, int[] kernel, int[] strides, int[] pad, PoolingType poolingType, ConvolutionMode convolutionMode)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	SubsamplingHelper.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray epsilon, int[] kernel, int[] strides, int[] pad, PoolingType poolingType, ConvolutionMode convolutionMode)

Uses of ConvolutionMode in org.deeplearning4j.nn.transferlearning

Fields in org.deeplearning4j.nn.transferlearning declared as ConvolutionMode

Modifier and Type	Field and Description
protected ConvolutionMode	FineTuneConfiguration.convolutionMode

Uses of ConvolutionMode in org.deeplearning4j.util

Methods in org.deeplearning4j.util with parameters of type ConvolutionMode

Modifier and Type	Method and Description
static int[]	ConvolutionUtils.getOutputSize(org.nd4j.linalg.api.ndarray.INDArray inputData, int[] kernel, int[] strides, int[] padding, ConvolutionMode convolutionMode) Get the output size (height/width) for the given inpud data and CNN configuration