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课程:机器人深度学习 | 英特尔® 人工智能开发人员计划

了解在许多机器人工作负载中使用深度学习算法的基础知识。
Criado por David C. (Intel) Última atualização em 16/08/2019 - 15:41
Article

使用英特尔® SSSE3 指令集在本地语音识别中加速 DNN 算法

The main algorithm of speech recognition has changed to DNN (Deep Neural Network). Without internet, the speech recognition service in your mobile devices nearly useless, very few times it can listen to what you said and work.With support for the SSSE3 instruction set on Intel’s CPU, we could easy run a DNN based speech recognition application without the internet. Adding direct SSSE3 support...
Criado por Última atualização em 26/03/2019 - 16:08
Article

基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训

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.
Criado por Gennady F. (Blackbelt) Última atualização em 05/07/2019 - 14:55
Vídeo

英特尔® 数据分析加速库(DAAL)

数据分析在各个行业和科技领域广泛运用,可帮助决策、查找各种模式、发现各种理论等。

Criado por Wei D. (Intel) Última atualização em 18/01/2019 - 00:50
Article

基于英特尔® 至强 E5 系列处理器的单节点 Caffe 评分和训练

As Deep Neural Network (DNN) applications grow in importance in various areas including internet search engines and medical imaging, Intel teams are working on software solutions to accelerate these workloads that will become available in future versions of Intel® Math Kernel Library (Intel® MKL) and Intel® Data Analytics Acceleration Library (Intel® DAAL). This technical preview demonstrates...
Criado por Gennady F. (Blackbelt) Última atualização em 11/03/2019 - 13:17
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.
Criado por Última atualização em 06/07/2019 - 16:40
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®...
Criado por Sunny G. (Intel) Última atualização em 08/05/2018 - 10:50
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.
Criado por Sunny G. (Intel) Última atualização em 05/07/2019 - 19:13
Mensagem de blog

英特尔® 至强融核™ 处理器如何为机器学习/深度学习应用和框架提供强大优势

Machine learning can take very large amounts of data to predict possible outcomes with a high degree of accuracy. The second-generation Intel® Xeon Phi processor has the processor performance and memory bandwidth to address complex machine learning applications.
Criado por Pradeep Dubey (Intel) Última atualização em 10/07/2018 - 08:08
Article

你为什么要关注机器学习?

Machine learning has been around for a while, so even if you haven’t worked on it as a developer, you’re probably very familiar with it as a consumer. When you add something to your cart in Amazon, and see a list of other recommended products that you might also like—that's an example of machine learning. Essentially, machine learning is the development of computer programs that can learn and...
Criado por Singh, Niven (Intel) Última atualização em 09/03/2019 - 13:10