Learn how to configure the Eclipse* IDE to build the C++ code sample, along with a code walkthrough based on the AlexNet deep learning topology for AI applications.
Using Intel® Data Analytics Acceleration Library (Intel® DAAL) with the Go* programming language to enable batch, online, and distributed processing
利用配有 Go* 编程语言的英特尔® 数据分析加速库 （英特尔® DAAL）支持批量、在线和分布式处理
在本篇中 （系列教程第二部分），将介绍如何配置集成开发环境 (IDE)，以创建 C++ 代码示例，并提供基于 AlexNet* 深度学习拓扑的代码详解。
Intel has created a data analytics acceleration project on github, to help accelerate data analytic
The article discusses the ways for enabling a new analytical algorithm in Intel® DAAL
Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages. Intel DAAL supports three processing modes, batch processing, online processing, and distributed processing. Online processing, a.k.a. streaming, is...
Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL C++ examples included in the package.