Modifier and Type | Method and Description |
---|---|
ConvolutionLayer |
ConvolutionLayerSpace.getValue(double[] values) |
Modifier and Type | Class and Description |
---|---|
class |
Convolution1D
1D convolution layer.
|
class |
Convolution1DLayer
1D (temporal) convolutional layer.
|
class |
Convolution2D
2D convolution layer
|
class |
Convolution3D
3D convolution layer configuration
|
class |
Deconvolution2D
2D deconvolution layer configuration
Deconvolutions are also known as transpose convolutions or fractionally strided convolutions. |
class |
Deconvolution3D
3D deconvolution layer configuration
Deconvolutions are also known as transpose convolutions or fractionally strided convolutions. |
class |
DepthwiseConvolution2D
2D depth-wise convolution layer configuration.
|
class |
SeparableConvolution2D
2D Separable convolution layer configuration.
|
Modifier and Type | Method and Description |
---|---|
ConvolutionLayer |
ConvolutionLayer.Builder.build() |
ConvolutionLayer |
ConvolutionLayer.clone() |
Modifier and Type | Method and Description |
---|---|
ConvolutionLayer |
KerasAtrousConvolution2D.getAtrousConvolution2D()
Get DL4J ConvolutionLayer.
|
ConvolutionLayer |
KerasConvolution2D.getConvolution2DLayer()
Get DL4J ConvolutionLayer.
|
ConvolutionLayer |
KerasConvolution3D.getConvolution3DLayer()
Get DL4J ConvolutionLayer.
|
Modifier and Type | Method and Description |
---|---|
static ConvolutionLayer |
FaceNetHelper.c3x3reduce(int in,
int out,
double bias) |
static ConvolutionLayer |
FaceNetHelper.c5x5reduce(int in,
int out,
double bias) |
static ConvolutionLayer |
FaceNetHelper.conv1x1(int in,
int out,
double bias) |
static ConvolutionLayer |
FaceNetHelper.conv3x3(int in,
int out,
double bias) |
static ConvolutionLayer |
FaceNetHelper.conv5x5(int in,
int out,
double bias) |
static ConvolutionLayer |
FaceNetHelper.conv7x7(int in,
int out,
double bias) |
static ConvolutionLayer |
FaceNetHelper.convNxN(int reduceSize,
int outputSize,
int kernelSize,
int kernelStride,
boolean padding) |
static ConvolutionLayer |
FaceNetHelper.convNxNreduce(int inputSize,
int reduceSize,
int reduceStride) |
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