Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/07/05 - 14:54

Introducing DNN primitives in Intel® Math Kernel Library

Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL ​2019 and will be removed in the next intel® MKL Release.

作者: Vadim Pirogov (Intel) 最后更新时间: 2019/03/21 - 12:00

Track Reconstruction with Deep Learning at the CERN CMS Experiment

Connecting the Dots
作者: 最后更新时间: 2018/12/12 - 18:00

Intel® Media SDK & Intel® Media Server Studio Historical Release Notes

Release Notes of Intel® Media SDK include important information, such as system requirements, what's new, feature table and known issues since the previous release.

作者: Liu, Mark (Intel) 最后更新时间: 2019/07/03 - 20:07

Accelerate Computer Vision & Deep Learning with OpenVINO™ toolkit

作者: 管理 最后更新时间: 2019/03/21 - 14:55

Transform Enterprise, HPC & AI, Accelerate Parallel Code

作者: 管理 最后更新时间: 2019/07/06 - 16:15

Intel® CPU Excels in MLPerf* Reinforcement Learning Training

Today, MLPerf* consortium, a group of 40 companies and university research institutes, published the 2nd round of the benchmark results based upon ML

作者: Koichi Yamada (Intel) 最后更新时间: 2019/09/30 - 16:50