Article

应用蚁群优化算法 (ACO) 实施交通网络扩展

In this article an OpenMP* based implementation of the Ant Colony Optimization algorithm was analyzed for bottlenecks with Intel® VTune™ Amplifier XE 2016 together with improvements using hybrid MPI-OpenMP and Intel® Threading Building Blocks were introduced to achieve efficient scaling across a four-socket Intel® Xeon® processor E7-8890 v4 processor-based system.
Authored by Sunny G. (Intel) Last updated on 07/05/2019 - 19:13
Article

面向英特尔® 架构优化的 Caffe*:使用现代代码技巧

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Authored by Last updated on 07/06/2019 - 16:40
Article

针对英特尔® 至强™ 处理器 E5 系列的 Caffe* 评分优化

为了不断优化英特尔® 架构的深度学习工作负载,我们的工程师探索不同的路径,以达到最高性能。

Authored by Gennady F. (Blackbelt) Last updated on 03/21/2019 - 12:28
Article

方案:基于英特尔® 至强融核™ 处理器 x 200 的面向深度学习优化的 Caffe*

The computer learning code Caffe* has been optimized for Intel® Xeon Phi™ processors. This article provides detailed instructions on how to compile and run this Caffe* optimized for Intel® architecture to obtain the best performance on Intel Xeon Phi processors.
Authored by Vamsi Sripathi (Intel) Last updated on 03/11/2019 - 13:17
Blog post

英特尔 Kaggle 竞赛技术参考

简介

2017 年3 月15日,英特尔携手 MobileODT*(MobileODT* 公司致力于向全球每位女性普及宫颈癌筛选)在 Kaggle.com 网站推出人工智能竞赛。Kaggle 是知名的数据相关竞赛的领先平台,通过该平台,公司可以发布建模问题,专业人士、开发人员和研究人员以竞赛的形式提供最佳解决方案。

Authored by Wei D. (Intel) Last updated on 01/24/2018 - 15:35
Article

现代英特尔® 架构上的 TensorFlow* 优化

本文向人工智能 (AI) 社区介绍了在基于英特尔® 至强和英特尔® 至强融核™ 处理器的平台上实施的 TensorFlow* 优化。
Authored by Elmoustapha O. (Intel) Last updated on 05/08/2018 - 09:18
Article

使用 Neon™ 框架对无人机视频进行物体检测

摘要
Authored by Last updated on 08/06/2018 - 19:43
Article

安装英特尔® Theano*软件优化包和支持工具

Theano* is a Python* library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays. Theano can be installed and used with several combinations of development tools and libraries on a variety of platforms. This tutorial provides one such recipe describing steps to build and install Intel-optimized Theano with Intel®...
Authored by Sunny G. (Intel) Last updated on 05/08/2018 - 10:50
Article

使用 TensorFlow* 对象检测 API 实施交通灯检测

本案例研究评估了 TensorFlow* 对象检测 API 处理一个实时任务的能力,即在基于英特尔® 至强® 处理器的机器上进行交通灯检测。
Authored by admin Last updated on 08/13/2018 - 23:08
Article

在英特尔® 至强® 和英特尔® 至强融核™ 处理器上提升深度学习训练和推理性能

如何使用 TensorFlow* 和 Caffe* 在英特尔® 至强® 处理器上提升深度学习训练和推理性能。
Authored by Vikram S. (Intel) Last updated on 04/30/2019 - 01:47