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
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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,

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
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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,

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

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

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

Explain why convolution and learn the basics about ConvNets and the different types of popular models.

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

To get started on deep learning with neon, watch this video which explains how to construct models and use our command line arguments to customize training runs.

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

Tutorial: Building and Training Recurrent and Convolutional Neural Networks

Join us to dive deep into the field of Deep Learning and focus on Convolutional and Recurrent Neural Networks.

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