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Training and Deploying Deep Learning Networks with Caffe* Optimized for Intel® Architecture

Caffe* is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC). Caffe optimized for Intel architecture is currently integrated with the latest release of Intel® Math Kernel Library (Intel® MKL) 2017 optimized for Advanced Vector Extensions (AVX)-2 and AVX-512 instructions which are supported in Intel® Xeon® and Intel® Xeon Phi™ processors (among others). This...
Authored by Andres R. (Intel) Last updated on 03/27/2017 - 14:11
Blog post

Using Neon™ for Data Science Bowl 2017

Have you heard about the Data Science Bowl? It’s a 90 day competition on Kaggle to make great things happen.

Authored by Amara K. (Intel) Last updated on 03/27/2017 - 09:32
Article

OpenCV* at the Edge: Counting People

Intro
Authored by Foster, Whitney Last updated on 03/23/2017 - 15:53
Downloadable Item

Intel® Parallel Studio XE for Windows* - Sample Bundle

Authored by Kevin D (Intel) Last updated on 03/22/2017 - 11:35
Downloadable Item

Intel® Parallel Studio XE for Linux* - Sample Bundle

Authored by Kevin D (Intel) Last updated on 03/22/2017 - 11:32
Downloadable Item

Intel® Data Analytics Acceleration Library - Samples

Authored by Ying H. (Intel) Last updated on 03/21/2017 - 01:50
Article

Intel® Distribution for Python* Known Issues

Intel® Distribution for Python* can become unstable and potentially crash because of the following:

Conda package manager for Linux 2.7.11:

Authored by Gergana S. (Intel) Last updated on 03/20/2017 - 12:43
Article

如何在 Linux* 中安装英特尔® 数据分析加速库(英特尔® DAAL)的 Python* 版本

英特尔® 数据分析加速库(英特尔® DAAL) 1, 2 是一款用于数据分析的软件解决方案。它提供用于数据预处理、转换、建模和预测等任务的构建模块。
Authored by Nguyen, Khang T Last updated on 03/20/2017 - 03:41
Article

借助英特尔® 数据分析加速库改进支持向量机

借助英特尔® 数据分析加速库改进支持向量机的性能 简介

在互联网广泛普及的情况下,文本分类已成为处理和管理文本数据的重要方式。文本分类用于对新闻报道分类和查找 Web 上的信息。例如,为搜索 Web 上的照片或区分马和狮子,必须采用相关机制对图片进行识别和分类。对文本或图片分类非常耗时。这种分类是一种出色的机器学习功能。[1]

Authored by Nguyen, Khang T Last updated on 03/19/2017 - 00:28
For more complete information about compiler optimizations, see our Optimization Notice.