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Article

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

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

腾讯* 在基于英特尔® 至强® 处理器的游戏内购买推荐系统中使用机器学习

To enhance the online gaming user experience, Tencent uses an in-game purchase recommendation system employing the machine learning method to help users decide what equipment they would want to buy within their games. Tencent machine learning engine uses DGEMM6 extensively in its module to compute the coefficients for the logistic regression machine learning algorithm.
Автор: Nguyen, Khang T (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

Intel® Math Kernel Library for Deep Learning Networks: Part 1–Overview and Installation

Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
Автор: Bryan B. (Intel) Последнее обновление: 11.03.2019 - 13:17
Article

Intel® Math Kernel Library for Deep Neural Networks: Part 2 – Code Build and Walkthrough

Learn how to configure the Eclipse* IDE to build the C++ code sample, along with a code walkthrough based on the AlexNet deep learning topology for AI applications.
Автор: Bryan B. (Intel) Последнее обновление: 23.05.2018 - 11:00
Article

面向 GEMM 引入新封装的 API

1     面向 GEMM 引入新封装的 API
Автор: Gennady F. (Blackbelt) Последнее обновление: 05.07.2019 - 19:03
Article

Profiling TensorFlow* workloads with Intel® VTune™ Amplifier

This tutorial will show how to combine the data provided by TensorFlow*.timeline with options available in one of the most powerful performance profilers for Intel® Architecture – Intel® VTune™ Amplifier.
Автор: Alexandr Kurylev (Intel) Последнее обновление: 21.03.2019 - 09:54
Article

Machine Learning and Knowledge Reasoning Probing with Intel® Architecture

This article presents a performance test of Intel® tuning platform composed by Intel® processor, Intel® C++ Compiler XE and Intel® Math Kernel Library (Intel® MKL) applied to usual AI problems, with two existing approaches of artificial intelligence probed.
Автор: Flavio Luis de Mello Последнее обновление: 24.01.2018 - 15:35
Article

Building and Probing Prolog* with Intel® Architecture

This article explores what happens when Intel solutions support functional and logic programming languages that are regularly used for Artificial Intelligence (AI) and proposes a Prolog interpreter recompilation using Intel® C++ Compiler and libraries in order to evaluate their contribution to logic based AI.
Автор: Flavio Luis de Mello Последнее обновление: 24.01.2018 - 15:35
Блоги

Track Reconstruction with Deep Learning at the CERN CMS Experiment

Connecting the Dots
Автор: Последнее обновление: 12.12.2018 - 18:00
Article

Intel® Media SDK & Intel® Media Server Studio Historical Release Notes

Release Notes of Intel® Media SDK include important information, such as system requirements, what's new, feature table and known issues since the previous release.

Автор: Liu, Mark (Intel) Последнее обновление: 03.07.2019 - 20:07