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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
Criado por Mike P. (Intel) Última atualização em 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

Criado por administrar Última atualização em 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,

Criado por Andres Rodriguez (Intel) Última atualização em 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
Criado por administrar Última atualização em 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.
Criado por administrar Última atualização em 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。

Criado por IDZSupport K. Última atualização em 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.

Criado por Última atualização em 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,

Criado por Andres Rodriguez (Intel) Última atualização em 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.

Criado por Wei D. (Intel) Última atualização em 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.

Criado por Wei D. (Intel) Última atualização em 11/03/2019 - 13:17