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Distributed Machine Learning on Apache Spark*

Radhika Rangarajan, Engineering Program Manager at Intel, discusses distributed machine learning on Apache Spark*.

Criado por administrar Última atualização em 11/03/2019 - 13:17
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Spotlight on Similarity API

This video shows how the Similarity API analyzes items in a data set and uses "memory voting" to find similar items.

Criado por administrar Última atualização em 11/03/2019 - 13:17
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BigDL: Distributed Deep Learning on Apache Spark

BigDL is a distributed deep learning library for Apache Spark*; with BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Sp

Criado por Gerald M. (Intel) Última atualização em 11/03/2019 - 13:17
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Introduction to BigDL on Apache Spark*

Addressing the need for a unified platform for big data analytics and deep learning, Intel recently released BigDL, an open source distributed deep learning library for Apache Spark*.

Criado por administrar Última atualização em 11/03/2019 - 13:17
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BigDL on Apache Spark* Part 1: Concepts and Motivation

To address the need for a unified platform for big data analytics and deep learning, Intel released BigDL, an open source distributed deep learning library for Apache Spark*.

Criado por Radhika R. (Intel) Última atualização em 11/03/2019 - 13:17
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BigDL on Apache Spark* Part 2: Architecture, Features, and Code

Addressing the need for a unified platform for big data analytics and deep learning, Intel recently released BigDL, an open source distributed deep learning library for Apache Spark*.

Criado por Radhika R. (Intel) Última atualização em 11/03/2019 - 13:17
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BigDL on Apache Spark* Part 3: Use Cases and Tutorials

Addressing the need for a unified platform for big data analytics and deep learning, Intel recently released BigDL, an open source distributed deep learning library for Apache Spark*.

Criado por Radhika R. (Intel) Última atualização em 11/03/2019 - 13:17
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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
Vídeo

Convolutional Neural Networks

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

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