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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
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Running BigDL on Amazon Web Services* (AWS)

In recent years, deep learning has significantly improved several AI applications, such as recommendation engines, voice and speech recognition, and image and video recognition.

Автор: админ Последнее обновление: 11.03.2019 - 13:17
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The Selfie Robot: An Integrated Cloud Powered Framework

 

Introduction

Автор: Martin K. (Intel) Последнее обновление: 11.03.2019 - 13:17
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Deep Learning on Qubole* Using BigDL for Apache Spark*

BigDL runs natively on Apache Spark*, and because Qubole* offers a greatly enhanced and optimized Spark as a service, it makes for a perfect deployment platform.

Автор: Последнее обновление: 11.03.2019 - 13:17
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Extending Deep Learning Reference Stack Capabilities

Intel understands the challenges that come with creating and deploying applications for deep learning-based workloads.

Автор: Mark Skarpness (Intel) Последнее обновление: 15.08.2019 - 12:53
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Intel® CPU Excels in MLPerf* Reinforcement Learning Training

Today, MLPerf* consortium, a group of 40 companies and university research institutes, published the 2nd round of the benchmark results based upon ML

Автор: Koichi Yamada (Intel) Последнее обновление: 30.09.2019 - 16:50
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New Deep Learning Workbench Profiler Provides Performance Insights

In recent releases of the Intel® Distribution of OpenVINO™ Toolkit developers can optimize their applications using a suite of Python* calibration tools, namely 

Автор: Shubha R. (Intel) Последнее обновление: 06.11.2019 - 10:36