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Overview | Deep Learning SDK

Autor admin Última actualización 27/03/2017 - 14:02
Article

Intel® Deep Learning SDK Tutorial: Getting Started with Intel® Deep Learning SDK Training Tool

The Training Tool is a web application running on a Linux* server and provides a user-friendly, intuitive interface for building and training deep learning models. With the Intel Deep Learning SDK Training Tool, you can easily prepare training data, design models, and train models with automated experiments and advanced visualizations.And secondly, Simplify the installation and usage of popular...
Autor admin Última actualización 27/03/2017 - 14:04
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Journey - Basics | IoT

Learn the basics of IoT development: getting started, suggested products from Intel, and code samples.
Autor Jeremy C. (Intel) Última actualización 27/03/2017 - 14:06
Vídeo

Get Started with the Intel® Deep Learning SDK

This video shows the Intel® Deep Learning SDK.

Autor Gerald M. (Intel) Última actualización 27/03/2017 - 14:07
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.
Autor Meghana R. (Intel) Última actualización 27/03/2017 - 14:07
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Digging Deeper | IoT Developer Journey

Get advanced guidance from Intel’s experts for creating IoT prototypes, adding sensors, and connecting to the cloud.
Autor admin Última actualización 27/03/2017 - 14:08
Vídeo

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.

Autor Gerald M. (Intel) Última actualización 27/03/2017 - 14:09
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...
Autor Andres R. (Intel) Última actualización 27/03/2017 - 14:11
Article

Introducing DNN primitives in Intel® Math Kernel Library

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

Autor Vadim Pirogov (Intel) Última actualización 27/03/2017 - 14:14
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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.
Autor Martin, Kay Última actualización 27/03/2017 - 14:15
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