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Article

Using Intel Data Analytics Acceleration Library on Apache Spark*

Apache Spark* (http://spark.apache.org/) is a fast and general engine for large-scale data processing.

作者: Zhang, Zhang (Intel) 最后更新时间: 2019/03/11 - 13:17
Article

基于英特尔® 至强 E5 系列处理器的单节点 Caffe 评分和训练

As Deep Neural Network (DNN) applications grow in importance in various areas including internet search engines and medical imaging, Intel teams are working on software solutions to accelerate these workloads that will become available in future versions of Intel® Math Kernel Library (Intel® MKL) and Intel® Data Analytics Acceleration Library (Intel® DAAL). This technical preview demonstrates...
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/03/11 - 13:17
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.
作者: Bryan B. (Intel) 最后更新时间: 2019/03/11 - 13:17
Article

英特尔® 深度学习 SDK 教程:英特尔® 深度学习 SDK 训练工具入门指南

训练工具是一款在 Linux* 服务器上运行的 web 应用,为构建和训练深度学习模型提供了一个易用且直观的界面。借助英特尔深度学习 SDK 训练工具,您可以轻松地准备训练数据,设计模型并通过自动化实验和高级可视化训练模型。其次,简化针对英特尔平台优化的常用深度学习框架的安装和使用。
作者: 管理 最后更新时间: 2019/03/11 - 13:17
Article

Building Large-Scale Image Feature Extraction with BigDL at JD.com

This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using deep learning on Apache Spark* and BigDL.
作者: Jason Dai (Intel) 最后更新时间: 2019/05/30 - 15:56
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Soundcloud* Podcast: Understanding Deep Learning for Apache Spark* with Jason Dai

In this episode of the Data Show, O'Reilly Radar spoke with Jason Dai, CTO of big data technologies at Intel, and co-chair of Strata + Hadoop World Beijing.

作者: 管理 最后更新时间: 2019/03/11 - 13:17
Article

Deep Learning Training Tool Release Notes

Release Notes include important information, such as

作者: Bethany D. (Intel) 最后更新时间: 2019/03/11 - 13:17
Article

Brain Tumor Segmentation using Fully Convolutional Tiramisu Deep Learning Architecture

The aim of the work was to implement, train and evaluate the quality of automated brain tumor multi-label segmentation technique for Magnetic Resonance Imaging based on Tiramisu deep learning architecture.
作者: Kocot, Szymon 最后更新时间: 2019/03/26 - 16:20
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.

作者: Michael Steyer (Intel) 最后更新时间: 2019/03/11 - 13:17