conv3d
abstract fun conv3d(outChannels: Int, kernelSize: Triple<Int, Int, Int>, stride: Triple<Int, Int, Int> = Triple(1, 1, 1), padding: Triple<Int, Int, Int> = Triple(0, 0, 0), dilation: Triple<Int, Int, Int> = Triple(1, 1, 1), groups: Int = 1, bias: Boolean = true, id: String = "", content: CONV3D<T, V>.() -> Unit = {})(source)
Creates a 3D convolutional layer for processing volumetric data.
Parameters
outChannels
Number of output channels/filters
kernelSize
Size of the convolving kernel (depth, height, width)
stride
Stride of the convolution (default: 1, 1, 1)
padding
Padding added to all sides of the input (default: 0, 0, 0)
dilation
Spacing between kernel elements (default: 1, 1, 1)
groups
Number of groups for grouped convolution (default: 1)
bias
Whether to add a learnable bias (default: true)
id
Optional identifier for the layer
content
Configuration block for weights and bias initialization