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Recipe: Building and running NEMO* on Intel® Xeon Phi™ Processors

The NEMO* (Nucleus for European Modelling of the Ocean) numerical solutions framework encompasses models of ocean, sea ice, tracers, and biochemistry equations and their related physics.This recipe shows the performance advantages of using the Intel® Xeon Phi™ processor 7250.
Authored by Dmitry K. (Intel) Last updated on 03/27/2017 - 16:04
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Intel® Distribution for Python* | Overview

Authored by admin Last updated on 03/27/2017 - 14:16
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Intel® Math Kernel Library (Intel® MKL)

Intel® Math Kernel Library (Intel® MKL) accelerates math processing routines that increase application performance and reduce development time.
Authored by Martin, Kay Last updated on 03/27/2017 - 14:15
Article

Introducing DNN primitives in Intel® Math Kernel Library

    Deep Neural Networks (DNNs) are on the cutting edge of the Machine Learning domain.

Authored by Vadim Pirogov (Intel) Last updated on 03/27/2017 - 14:14
Article

Training and Deploying Deep Learning Networks with Caffe* Optimized for Intel® Architecture

Caffe* is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC). Caffe optimized for Intel architecture is currently integrated with the latest release of Intel® Math Kernel Library (Intel® MKL) 2017 optimized for Advanced Vector Extensions (AVX)-2 and AVX-512 instructions which are supported in Intel® Xeon® and Intel® Xeon Phi™ processors (among others). This...
Authored by Andres R. (Intel) Last updated on 03/27/2017 - 14:11
Video

What is Intel® Optimized Caffe*

Caffe* is a deep learning framework that is useful for convolutional and fully connected networks, and recently recurrent neural networks were added.

Authored by Gerald M. (Intel) Last updated on 03/27/2017 - 14:09
Article

Case Study – Using the Intel® Deep Learning SDK for Training Image Recognition Models

In this case study, we explore LeNet*,one of the prominent image recognition topologies for handwritten digit recognition, and show how the training tool can be used to visually set up, tune, and train the Mixed National Institute of Standards and Technology (MNIST) dataset on Caffe* optimized for Intel® architecture. Data scientists are the intended audience.
Authored by Meghana R. (Intel) Last updated on 03/27/2017 - 14:07
Video

Get Started with the Intel® Deep Learning SDK

This video shows the Intel® Deep Learning SDK.

Authored by Gerald M. (Intel) Last updated on 03/27/2017 - 14:07
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