Package | Description |
---|---|
org.deeplearning4j.nn.conf.layers | |
org.deeplearning4j.nn.layers.convolution.subsampling | |
org.deeplearning4j.nn.layers.mkldnn | |
org.deeplearning4j.util |
Modifier and Type | Field and Description |
---|---|
protected PoolingType |
SubsamplingLayer.poolingType |
protected PoolingType |
SubsamplingLayer.BaseSubsamplingBuilder.poolingType |
protected PoolingType |
Subsampling3DLayer.poolingType |
protected PoolingType |
Subsampling3DLayer.BaseSubsamplingBuilder.poolingType |
Modifier and Type | Method and Description |
---|---|
PoolingType |
SubsamplingLayer.PoolingType.toPoolingType() |
PoolingType |
Subsampling3DLayer.PoolingType.toPoolingType() |
static PoolingType |
PoolingType.valueOf(String name)
Returns the enum constant of this type with the specified name.
|
static PoolingType[] |
PoolingType.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
Modifier and Type | Method and Description |
---|---|
T |
SubsamplingLayer.BaseSubsamplingBuilder.poolingType(PoolingType poolingType) |
T |
Subsampling3DLayer.BaseSubsamplingBuilder.poolingType(PoolingType poolingType) |
GlobalPoolingLayer.Builder |
GlobalPoolingLayer.Builder.poolingType(PoolingType poolingType) |
Constructor and Description |
---|
BaseSubsamplingBuilder(PoolingType poolingType) |
BaseSubsamplingBuilder(PoolingType poolingType) |
BaseSubsamplingBuilder(PoolingType poolingType,
int[] kernelSize) |
BaseSubsamplingBuilder(PoolingType poolingType,
int[] kernelSize) |
BaseSubsamplingBuilder(PoolingType poolingType,
int[] kernelSize,
int[] stride,
int[] padding) |
BaseSubsamplingBuilder(PoolingType poolingType,
int[] kernelSize,
int[] stride,
int[] padding) |
Builder(PoolingType poolingType) |
Builder(PoolingType poolingType) |
Builder(PoolingType poolingType) |
Builder(PoolingType poolingType) |
Builder(PoolingType poolingType,
int kernelSize) |
Builder(PoolingType poolingType,
int[] kernelSize) |
Builder(PoolingType poolingType,
int[] kernelSize) |
Builder(PoolingType poolingType,
int[] kernelSize,
int[] stride,
int[] padding) |
Builder(PoolingType poolingType,
int[] kernelSize,
int[] stride,
int[] padding) |
Builder(PoolingType poolingType,
int kernelSize,
int stride,
int padding) |
GlobalPoolingLayer(PoolingType poolingType) |
Modifier and Type | Method and Description |
---|---|
INDArray |
SubsamplingHelper.activate(INDArray input,
boolean training,
int[] kernel,
int[] strides,
int[] pad,
PoolingType poolingType,
ConvolutionMode convolutionMode,
int[] dilation,
LayerWorkspaceMgr workspaceMgr) |
Pair<Gradient,INDArray> |
SubsamplingHelper.backpropGradient(INDArray input,
INDArray epsilon,
int[] kernel,
int[] strides,
int[] pad,
PoolingType poolingType,
ConvolutionMode convolutionMode,
int[] dilation,
LayerWorkspaceMgr workspaceMgr) |
Modifier and Type | Method and Description |
---|---|
INDArray |
MKLDNNSubsamplingHelper.activate(INDArray input,
boolean training,
int[] kernel,
int[] strides,
int[] pad,
PoolingType poolingType,
ConvolutionMode convolutionMode,
int[] dilation,
LayerWorkspaceMgr workspaceMgr) |
Pair<Gradient,INDArray> |
MKLDNNSubsamplingHelper.backpropGradient(INDArray input,
INDArray epsilon,
int[] kernel,
int[] strides,
int[] pad,
PoolingType poolingType,
ConvolutionMode convolutionMode,
int[] dilation,
LayerWorkspaceMgr workspaceMgr) |
Modifier and Type | Method and Description |
---|---|
static INDArray |
MaskedReductionUtil.maskedPoolingConvolution(PoolingType poolingType,
INDArray toReduce,
INDArray mask,
int pnorm,
org.nd4j.linalg.api.buffer.DataType dataType) |
static INDArray |
MaskedReductionUtil.maskedPoolingEpsilonCnn(PoolingType poolingType,
INDArray input,
INDArray mask,
INDArray epsilon2d,
int pnorm,
org.nd4j.linalg.api.buffer.DataType dataType) |
static INDArray |
MaskedReductionUtil.maskedPoolingEpsilonTimeSeries(PoolingType poolingType,
INDArray input,
INDArray mask,
INDArray epsilon2d,
int pnorm) |
static INDArray |
MaskedReductionUtil.maskedPoolingTimeSeries(PoolingType poolingType,
INDArray toReduce,
INDArray mask,
int pnorm,
org.nd4j.linalg.api.buffer.DataType dataType) |
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