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Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Автор: Sunny G. (Intel) Последнее обновление: 08.05.2018 - 10:50
Видео

Remove Python* Performance Barriers for Machine Learning

Online content and service providers like Netflix and Amazon have popularized the use of recommendation platforms/engines, that predict a user’s preferences based on historical ratings, collective

Автор: админ Последнее обновление: 13.02.2018 - 09:24
Article

Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
Автор: JON J K. (Intel) Последнее обновление: 30.05.2018 - 07:00
Блоги

Accelerate Computer Vision & Deep Learning with OpenVINO™ toolkit

Автор: админ Последнее обновление: 21.03.2019 - 14:55
Article

Intel and Facebook* collaborate to boost PyTorch* CPU performance

Intel's software optimization and 2nd generation Intel® Xeon® Scalable Processors with Intel® DL Boost® accelerate PyTorch's CPU performance
Автор: Andres Rodriguez (Intel) Последнее обновление: 15.08.2019 - 12:50
Article

Using Intel® Data Analytics Acceleration Library on Matlab*

Intel® Data Analytics Acceleration Library (Intel® DAAL) is high performance library, which provides a rich set of algorithms, ranging from the most basic descriptive statisti

Автор: Ying H. (Intel) Последнее обновление: 27.08.2019 - 13:50
Article

Accelerating Deep Learning Based Large-Scale Inverse Kinematics with Intel® Distribution of OpenVINO™ Toolkit

Use Deep Learning Deployment Toolkit (DLDT) to deploy deep-learning algorithms to solve character Inverse Kinematics (IK) problems.
Автор: Tai Ha (Intel) Последнее обновление: 19.09.2019 - 10:35
Article

Recipe: ROME1.0/SML for the Intel® Xeon Phi™ Processor 7250

This article provides a recipe for how to obtain, compile, and run ROME1.0 SML on Intel® Xeon® processors and Intel® Xeon Phi™ processors.
Автор: Yu-Ping Z. (Intel) Последнее обновление: 01.10.2019 - 14:44