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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。
Authored by David C. (Intel) Last updated on 08/16/2019 - 15:41
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Курс: «Глубинное обучение для робототехники» | Программа Intel® AI Developer Program

Узнайте основы использования алгоритмов глубинного обучения для множества рабочих нагрузок робототехники.
Authored by David C. (Intel) Last updated on 08/16/2019 - 15:43
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Curso: Aprendizaje profundo sobre robótica | Intel® AI Developer Program

Conozca las bases para usar algoritmos de aprendizaje profundo en diversas cargas de trabajo de robótica.
Authored by David C. (Intel) Last updated on 08/16/2019 - 15:44
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Curso: Compreensão aprofundada sobre Robótica | Programa para desenvolvedores de IA da Intel®

Aprenda os fundamentos do uso de algoritmos de aprendizado profundo em várias cargas de trabalho de robótica.
Authored by David C. (Intel) Last updated on 08/16/2019 - 15:45
Article

Developer Success Stories Library

Case studies and success stories
Authored by admin Last updated on 08/05/2019 - 07:21
Blog post

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)

 

Authored by Last updated on 03/11/2019 - 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...
Authored by Last updated on 03/26/2019 - 16:08
Blog post

Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Authored by James R. (Blackbelt) Last updated on 12/12/2018 - 18:00
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...
Authored by Last updated on 03/26/2019 - 16:08
Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

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.
Authored by Gennady F. (Blackbelt) Last updated on 07/05/2019 - 14:54