Article

IDF'15 Webcast: Data Analytics and Machine Learning

This Technology Insight will demonstrate how to optimize data analytics and machine learning workloads for Intel® Architecture based data center platforms. Speaker: Pradeep Dubey Intel Fellow, Intel Labs Director, Parallel Computing Lab, Intel Corporation
作者: Mike P. (Intel) 最后更新时间: 2019/07/06 - 16:40
视频

Remove Python* Performance Barriers for Machine Learning

Online content and service providers like Netflix and Amazon have popularized the use of recommendation platforms/engines, that predict a user’s preferences based on historical ratings, collective

作者: 管理 最后更新时间: 2018/02/13 - 09:24
视频

Webinar: Deep Learning 101

Deep neural networks are capable of amazing levels of representation power resulting in state-of-the-art accuracy in areas such as computer vision, speech recognition, natural language processing,

作者: Andres Rodriguez (Intel) 最后更新时间: 2018/10/24 - 15:36
事件

Deep Learning 102: Introduction to Neural Networks

Register for the latest Deep Learning webinar. We will cover state-of-the-art accuracy in areas such as computer vision, speech recognition, & more
作者: 管理 最后更新时间: 2019/07/03 - 19:50
事件

Webinar: Python* Programming for Machine Learning

Learn about best usage for the Intel® Distribution for Python*, installing and setting up, intro to machine learning with examples.
作者: 管理 最后更新时间: 2018/01/24 - 15:35
视频

网络研讨会:深度学习 101

深度神经网络具备出色的高级表达功能,并在诸多领域展示了一流的准确性,如计算机视觉、语音识别、自然语言处理以及各种数据分析领域。 深度网络需要训练大量的计算。 英特尔正在优化常见的框架,如 Caffe*、TensorFlow* 和 Theano* 等,以显著提升性能,缩短单个节点的训练总时间。 英特尔还在增强上述框架的多节点分布式训练功能,以在多个节点间分享计算要求,进一步缩短训练时间。

作者: IDZSupport K. 最后更新时间: 2019/01/17 - 02:17
视频

Optimizing Torch Performance for Intel® Xeon Phi Processor Webinar

Learn how machine learning/deep learning applications benefit from code modernization.

作者: 最后更新时间: 2019/03/21 - 12:40
视频

Intel® Nervana™ Solution Stack

Deep neural networks are capable of amazing levels of representation power resulting in state-of-the-art accuracy in areas such as computer vision, speech recognition, natural language processing,

作者: Andres Rodriguez (Intel) 最后更新时间: 2019/01/03 - 15:10
视频

Introduction to Deep Learning with neon™

This video introduces the basic deep learning concepts necessary to both understand the neon™ codebase and build your own deep learning models.

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

Recurrent Neural Networks

We motivate why recurrent neural networks are important for dealing with sequence data and review LSTMs and GRU architectures.

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