Intel® Compute Library for Deep Neural Networks (clDNN)
Revision as of 13:04, 28 May 2018 by BPeat (talk | contribs) (Created page with "[http://www.google.com/search?q=clDNN+intel YouTube search...] * [http://github.com/intel/clDNN clDNN | GIT] * DeepLens - deep learning enabled video camera Compute Libr...")
Compute Library for Deep Neural Networks (clDNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL Inference on Intel® Processor Graphics – including HD Graphics and Iris® Graphics. clDNN includes highly optimized building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. We created this project to enable the DL community to innovate on Intel® processors.
Usages supported: Image recognition, image detection, and image segmentation.
Validated Topologies: AlexNet*, VGG(16,19)*, GoogleNet(v1,v2,v3)*, ResNet(50,101,152)* Faster R-CNN*, Squeezenet*, SSD_googlenet*, SSD_VGG*, PVANET*, PVANET_REID*, age_gender*, FCN* and yolo*.