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Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Criado por Gennady F. (Blackbelt) Última atualização em 05/07/2019 - 14:54
Mensagem de blog

Announcing the Intel® Distribution for Python* Beta

The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.

Criado por Robert C. (Intel) Última atualização em 31/12/2018 - 16:12
Article

Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*

This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) [2]. It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL) [3] to improve the performance of an NB algorithm.
Criado por Nguyen, Khang T (Intel) Última atualização em 06/07/2019 - 16:40
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Criado por Última atualização em 06/07/2019 - 16:40
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Criado por Sunny G. (Intel) Última atualização em 08/05/2018 - 10:50
Mensagem de blog

SHEPHERD: Just when I thought I was out... they pull me back in

Don't get me wrong, I was a quite willing participant with all of this. 

Criado por Última atualização em 10/07/2018 - 08:08
Article

Machine Learning and Knowledge Reasoning Probing with Intel® Architecture

This article presents a performance test of Intel® tuning platform composed by Intel® processor, Intel® C++ Compiler XE and Intel® Math Kernel Library (Intel® MKL) applied to usual AI problems, with two existing approaches of artificial intelligence probed.
Criado por Flavio Luis de Mello Última atualização em 24/01/2018 - 15:35
Mensagem de blog

Track Reconstruction with Deep Learning at the CERN CMS Experiment

Connecting the Dots
Criado por Última atualização em 12/12/2018 - 18:00
Mensagem de blog

Track Reconstruction with Deep Learning at the CERN CMS Experiment

This blog post is part of a series that describes my summer school project at CERN openlab.

Criado por Última atualização em 21/03/2019 - 12:00
Mensagem de blog

Top Ten Intel Software Developer Stories | October

Learn to build a face access control solution, get horrified in a haunted high school, and be sure to register for the Intel® HPC Developer Conference this month.
Criado por Carman, Vicky (Intel) Última atualização em 05/02/2019 - 10:48