Using Intel Data Analytics Acceleration Library on Apache Spark*

Apache Spark* ( 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

Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
作者: Andres Rodriguez (Intel) 最后更新时间: 2019/03/11 - 13:17

Nervana’s Deep Learning Course

Nervana has joined Intel

作者: 管理 最后更新时间: 2019/03/20 - 13:15

BigDL: Distributed Deep Learning on Apache Spark*

As the leading framework for Distributed ML, the addition of deep learning to the super-popular Spark framework is important, because it allows Spark developers to perform a wide range of data analysis tasks—including data wrangling, interactive queries, and stream processing—within a single framework. Three important features offered by BigDL are rich deep learning support, High Single Node Xeon...
作者: 最后更新时间: 2019/03/11 - 13:17

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

BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
作者: Sunny G. (Intel) 最后更新时间: 2019/03/11 - 13:17

BigDL: Bring Deep Learning to the Fingertips of Big Data Users and Data Scientists

Big data and analytics play a central role in today’s smart and connected world, and are continuously driving the convergence of big data, analytics, and machine learning/deep learning. We open sourced BigDL, a distributed deep learning library for Apache Spark*, for the very purpose of uniting the deep learning community and the big data community
作者: Jason Dai (Intel) 最后更新时间: 2019/03/11 - 13:17

Deploying BigDL on Microsoft’s Azure* Data Science Virtual Machine

Automated Installation of BigDL Using Deploy to Azure*
作者: 最后更新时间: 2019/03/11 - 13:17

Hands-On AI Part 9: Data Annotation Techniques

In previous articles, we discussed the Amazon Mechanical Turk* (MTurk*) crowdsourcing marketplace, explained key MTurk terminology, and presented an example on how to use MTurk for word selection.
作者: 管理 最后更新时间: 2019/03/18 - 17:54

Hands-On AI Part 8: Crowdsourcing Word Selection for Image Search

In the previous article, we introduced Amazon Mechanical Turk* (MTurk) crowdsourcing marketplace and described techniques to help improve the effectiveness and efficiency of crowdsourcing pipelines. In this article, we will demonstrate how to apply crowdsourcing in a real pipeline.
作者: 管理 最后更新时间: 2019/03/18 - 17:52