Modifier and Type | Class and Description |
---|---|
class |
BaseOutputLayer<LayerConfT extends BaseOutputLayer>
Output layer with different objective
in co-occurrences for different objectives.
|
class |
LossLayer
LossLayer is a flexible output "layer" that performs a loss function on
an input without MLP logic.
|
class |
OutputLayer
Output layer with different objective
incooccurrences for different objectives.
|
Modifier and Type | Class and Description |
---|---|
class |
Cnn3DLossLayer
3D Convolutional Neural Network Loss Layer.
|
class |
CnnLossLayer
Convolutional Neural Network Loss Layer.
|
Modifier and Type | Class and Description |
---|---|
class |
Yolo2OutputLayer
Output (loss) layer for YOLOv2 object detection model, based on the papers:
YOLO9000: Better, Faster, Stronger - Redmon & Farhadi (2016) - https://arxiv.org/abs/1612.08242
and You Only Look Once: Unified, Real-Time Object Detection - Redmon et al. (2016) - http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Redmon_You_Only_Look_CVPR_2016_paper.pdf This loss function implementation is based on the YOLOv2 version of the paper. |
Modifier and Type | Class and Description |
---|---|
class |
OCNNOutputLayer
Layer implementation for
OCNNOutputLayer
See OCNNOutputLayer
for details. |
Modifier and Type | Class and Description |
---|---|
class |
RnnLossLayer
Recurrent Neural Network Loss Layer.
|
class |
RnnOutputLayer
Recurrent Neural Network Output Layer.
|
Modifier and Type | Class and Description |
---|---|
class |
SameDiffOutputLayer |
Modifier and Type | Class and Description |
---|---|
class |
CenterLossOutputLayer
Center loss is similar to triplet loss except that it enforces
intraclass consistency and doesn't require feed forward of multiple
examples.
|
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