Transposed 3-D convolution layer
A transposed 3-D convolution layer upsamples three-dimensional feature maps.
This layer is sometimes incorrectly known as a "deconvolution" or "deconv" layer. This layer is the transpose of convolution and does not perform deconvolution.
returns a transposed 3-D convolution layer and sets the layer
= transposedConv3dLayer(filterSize
,numFilters
)FilterSize
and
NumFilters
properties.
returns a transposed 3-D convolutional layer and specifies additional options using one or
more name-value pair arguments.layer
= transposedConv3dLayer(filterSize
,numFilters
,Name,Value
)
[1] Glorot, Xavier, and Yoshua Bengio. "Understanding the difficulty of training deep feedforward neural networks." In Proceedings of the thirteenth international conference on artificial intelligence and statistics, pp. 249-256. 2010.
[2] He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. "Delving deep into rectifiers: Surpassing human-level performance on imagenet classification." In Proceedings of the IEEE international conference on computer vision, pp. 1026-1034. 2015.
averagePooling3dLayer
| maxPooling3dLayer
| SoftmaxLayer
| transposedConv2dLayer
| TransposedConvolution3dLayer