Article

最大限度提升 CPU 上的 TensorFlow* 性能:推理工作负载的注意事项和建议

本文将介绍使用面向 TensorFlow 的英特尔® 优化* 进行 CPU 推理的性能注意事项
Authored by Nathan Greeneltch (Intel) Last updated on 08/09/2019 - 02:02
Article

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Authored by Nathan Greeneltch (Intel) Last updated on 07/31/2019 - 12:11
Article

Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
Authored by JON J K. (Intel) Last updated on 05/30/2018 - 07:00
Article

英特尔® OpenVINO™ 工具套件分发版助力加速基于深度学习的大规模反向运动学

使用深度学习部署工具套件 (DLDT) 部署深度学习算法,以解决角色的反向运动学 (IK) 问题。
Authored by Tai Ha (Intel) Last updated on 09/19/2019 - 10:37
Article

Transform Enterprise, HPC & AI, Accelerate Parallel Code

Authored by admin Last updated on 07/06/2019 - 16:15
Article

Accelerating Deep Learning Based Large-Scale Inverse Kinematics with Intel® Distribution of OpenVINO™ Toolkit

Use Deep Learning Deployment Toolkit (DLDT) to deploy deep-learning algorithms to solve character Inverse Kinematics (IK) problems.
Authored by Tai Ha (Intel) Last updated on 09/19/2019 - 10:35