Live Webinar: Boost Python* Performance with Intel® Math Kernel Library

Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.
作者: Mike P. (Intel) 最后更新时间: 2017/06/07 - 10:28

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

OpenStack App Developer Survey

As part of a long-term commitment to enhance ease-of-use, the OpenStack UX project, with support of the OpenStack Foundation and the Technical Committee, is now bu

作者: Mike P. (Intel) 最后更新时间: 2017/06/07 - 12:14

Improve Performance of K-Means with Intel® Data Analytics Acceleration Library

This article discusses an unsupervised machine-learning algorithm called K-means that can be used to solve the data problems.
作者: Nguyen, Khang T (Intel) 最后更新时间: 2018/01/24 - 15:35

Distributed Deep Learning with Docker*, Intel® Nervana™ technology, neon™, and Pachyderm*

The recent advances in machine learning and artificial intelligence are amazing! It seems like we see something groundbreaking every day, from self-driving cars, to AIs learning complex games.

作者: Daniel W. 最后更新时间: 2018/06/08 - 11:40

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

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/07/31 - 12:11

Faster Data Analytics Now Easy With daal4py

Daal4py combines the ease-of-use you expect in python with the superior performance of

作者: Frank Schlimbach (Intel) 最后更新时间: 2019/08/27 - 14:00

How to Install the Python* Version of Intel® Data Analytics Acceleration Library (Intel® DAAL)

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a software solution that offers building blocks covering all the stages of data analytics, from preprocessing to decision making. The beta version of Intel DAAL 2017 provides support for the Python* language.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/08/27 - 14:30