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Caffe* Scoring Optimization for Intel® Xeon® Processor E5 Series

    In continued efforts to optimize Deep Learning workloads on Intel® architecture, our engineers explore various paths leading to the maximum performance.

Автор: Gennady F. (Blackbelt) Последнее обновление: 21.03.2019 - 12:28
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BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
Автор: Sunny G. (Intel) Последнее обновление: 11.03.2019 - 13:17
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Using Intel® MPI Library on Intel® Xeon Phi™ Product Family

This document is designed to help users get started writing code and running MPI applications using the Intel® MPI Library on a development platform that includes the Intel® Xeon Phi™ processor.
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 21.03.2019 - 12:00
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TensorFlow* Sample Codes for Distributed Image Classification

The TensorFlow* image classification sample codes below describe a step-by-step approach to modify the code in order to scale the deep learning training across multiple nodes of HPC data centers.

Автор: Michael Steyer (Intel) Последнее обновление: 11.03.2019 - 13:17