Blog post

Track Reconstruction with Deep Learning at the CERN CMS Experiment

Connecting the Dots
Authored by Last updated on 12/12/2018 - 18:00
Blog post

Intel® AI Academy: The Future of AI. For All.

Authored by Jaclyn J. (Intel) Last updated on 01/24/2018 - 15:35
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.

Authored by Liu, Mark (Intel) Last updated on 07/03/2019 - 20:07
Article

TensorFlow* Sample Codes for Distributed Image Classification

The TensorFlow* image classification sample codes below describe a step-by-step approach to modify the code in order to scale the deep learning training across multiple nodes of HPC data centers.

Authored by Michael Steyer (Intel) Last updated on 03/11/2019 - 13:17
Article

Second Generation Intel® Xeon® Processor Scalable Family Technical Overview

New features and enhancements available in the second generation Intel® Xeon® processor Scalable family and how developers can take advantage of them
Authored by David Mulnix (Intel) Last updated on 09/30/2019 - 17:28
Article

第二代英特尔® 至强® 可扩展处理器产品家族技术概述

介绍第二代英特尔® 至强® 可扩展处理器产品家族的新特性、增强功能以及为开发人员带来的优势
Authored by David Mulnix (Intel) Last updated on 10/15/2019 - 16:40
Article

Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable Processors

Accelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
Authored by Nathan Greeneltch (Intel) Last updated on 10/15/2019 - 16:50
Article

基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训

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 10/15/2019 - 16:50
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 10/15/2019 - 16:50