Convolution 3D Layer
Libraries:
Deep Learning Toolbox /
Deep Learning Layers /
Convolution and Fully Connected Layers
Description
The Convolution 3D Layer block applies sliding cuboidal convolution filters
to 3-D input. The layer convolves the input by moving the filters along the input vertically
and horizontally as well as along the depth, computing the dot product of the weights and the
input, and then adding a bias term. This block accepts 3-D image data in the
SSSC
format (four dimensions corresponding to three spatial dimensions
and one channel dimension, in that order) and convolves over the spatial dimensions.
The exportNetworkToSimulink
function generates this block to represent a convolution3dLayer
object.
Limitations
The Layer parameter has limited support for the
'manual'
padding mode and does not support the'causal'
padding mode. It is recommended to use aconvolution3dLayer
object that has thePaddingMode
property set to'same'
.The Layer parameter does not support
convolution3dLayer
objects that have thePaddingValue
property set to"symmetric-exclude-edge"
. If you specify an object that uses that padding value, the block produces a warning and uses the value"symmetric-include-edge"
instead.The Layer parameter does not support
convolution3dLayer
objects that have theDilationFactor
property set to a value other than1
.