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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
Автор: Mike P. (Intel) Последнее обновление: 06.07.2019 - 16:40
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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

Автор: админ Последнее обновление: 13.02.2018 - 09:24
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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,

Автор: Andres Rodriguez (Intel) Последнее обновление: 24.10.2018 - 15:36
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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
Автор: админ Последнее обновление: 03.07.2019 - 19:50
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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.
Автор: админ Последнее обновление: 24.01.2018 - 15:35
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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。

Автор: IDZSupport K. Последнее обновление: 17.01.2019 - 02:17
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Optimizing Torch Performance for Intel® Xeon Phi Processor Webinar

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

Автор: Последнее обновление: 21.03.2019 - 12:40
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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,

Автор: Andres Rodriguez (Intel) Последнее обновление: 03.01.2019 - 15:10
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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.

Автор: Wei D. (Intel) Последнее обновление: 11.03.2019 - 13:17
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Recurrent Neural Networks

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

Автор: Wei D. (Intel) Последнее обновление: 11.03.2019 - 13:17