Uses of Class
org.deeplearning4j.nn.conf.layers.Convolution3D.Builder

Packages that use Convolution3D.Builder

Package	Description
org.deeplearning4j.nn.conf.layers

Uses of Convolution3D.Builder in org.deeplearning4j.nn.conf.layers

Methods in org.deeplearning4j.nn.conf.layers that return Convolution3D.Builder

Modifier and Type	Method and Description
Convolution3D.Builder	Convolution3D.Builder.convolutionMode(ConvolutionMode mode)
Convolution3D.Builder	Convolution3D.Builder.dataFormat(Convolution3D.DataFormat dataFormat) The data format for input and output activations. NCDHW: activations (in/out) should have shape [minibatch, channels, depth, height, width] NDHWC: activations (in/out) should have shape [minibatch, depth, height, width, channels]
Convolution3D.Builder	Convolution3D.Builder.dilation(int... dilation) Set dilation size for 3D convolutions in (depth, height, width) order
Convolution3D.Builder	Convolution3D.Builder.kernelSize(int... kernelSize) Set kernel size for 3D convolutions in (depth, height, width) order
Convolution3D.Builder	Convolution3D.Builder.padding(int... padding) Set padding size for 3D convolutions in (depth, height, width) order
Convolution3D.Builder	Convolution3D.Builder.stride(int... stride) Set stride size for 3D convolutions in (depth, height, width) order

Constructors in org.deeplearning4j.nn.conf.layers with parameters of type Convolution3D.Builder

Constructor and Description
Convolution3D(Convolution3D.Builder builder) 3-dimensional convolutional layer configuration nIn in the input layer is the number of channels nOut is the number of filters to be used in the net or in other words the depth The builder specifies the filter/kernel size, the stride and padding The pooling layer takes the kernel size