Output layer with different objective in co-occurrences for different objectives.

Output layer with different objective incooccurrences for different objectives.

3D Convolutional Neural Network Loss Layer.

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.

Layer implementation for OCNNOutputLayer See OCNNOutputLayer for details.

Recurrent Neural Network Loss Layer.

Center loss is similar to triplet loss except that it enforces intraclass consistency and doesn't require feed forward of multiple examples.