Фильтры

Блоги

Apache Spark* Innovation: Driving a Stronger Community Standard

This blog post was jointly written by Jiangang Duan, Jie Huang and Weihua Jiang (Intel), Alex Gutow (Cloudera), and Dale Kim (MapR)

 

Автор: Последнее обновление: 11.03.2019 - 13:17
Article

Using the Intel® SSSE3 Instruction Set to Accelerate DNN Algorithm in Local Speech Recognition

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...
Автор: Последнее обновление: 26.03.2019 - 16:08
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...
Автор: Последнее обновление: 26.03.2019 - 16:08
Article

Using Intel Data Analytics Acceleration Library on Apache Spark*

Apache Spark* (http://spark.apache.org/) is a fast and general engine for large-scale data processing.

Автор: Zhang, Zhang (Intel) Последнее обновление: 11.03.2019 - 13:17
Видео

Distributed Machine Learning on Apache Spark*

Radhika Rangarajan, Engineering Program Manager at Intel, discusses distributed machine learning on Apache Spark*.

Автор: админ Последнее обновление: 11.03.2019 - 13:17
Article

Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Автор: Andres Rodriguez (Intel) Последнее обновление: 11.03.2019 - 13:17
Article

Recipe: Optimized Caffe* for Deep Learning on Intel® Xeon Phi™ processor x200

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.
Автор: Vamsi Sripathi (Intel) Последнее обновление: 21.03.2019 - 12:40
Видео

Spotlight on Similarity API

This video shows how the Similarity API analyzes items in a data set and uses "memory voting" to find similar items.

Автор: админ Последнее обновление: 11.03.2019 - 13:17
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...
Автор: Gennady F. (Blackbelt) Последнее обновление: 11.03.2019 - 13:17
Article

Nervana’s Deep Learning Course

Nervana has joined Intel

Автор: админ Последнее обновление: 20.03.2019 - 13:15