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Article

Improving Support Vector Machine with Intel® Data Analytics Acceleration Library

Introduction
Автор: Nguyen, Khang T (Intel) Последнее обновление: 07.10.2018 - 07:15
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.
Автор: Meghana R. (Intel) Последнее обновление: 24.01.2018 - 15:35
Article

Intel® Distribution for Python 2017 Update 2 accelerates five key areas for impressive performance gains

Intel Corporation is pleased to announce the release of Intel® Distribution for Python* 2017 Update 2, which offers both performance improvements and new features. 

Автор: Sergey Maidanov (Intel) Последнее обновление: 25.05.2018 - 11:00
Article

Intel® Math Kernel Library for Deep Learning Networks: Part 1–Overview and Installation

Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
Автор: Bryan B. (Intel) Последнее обновление: 11.03.2019 - 13:17
Article

Intel® Math Kernel Library for Deep Neural Networks: Part 2 – Code Build and Walkthrough

Learn how to configure the Eclipse* IDE to build the C++ code sample, along with a code walkthrough based on the AlexNet deep learning topology for AI applications.
Автор: Bryan B. (Intel) Последнее обновление: 23.05.2018 - 11:00
Article

Distributed Deep Learning with Docker*, Intel® Nervana™ technology, neon™, and Pachyderm*

The recent advances in machine learning and artificial intelligence are amazing! It seems like we see something groundbreaking every day, from self-driving cars, to AIs learning complex games.

Автор: Daniel W. Последнее обновление: 08.06.2018 - 11:40
Article

Go* for Big Data

Using Intel® Data Analytics Acceleration Library (Intel® DAAL) with the Go* programming language to enable batch, online, and distributed processing
Автор: Daniel W. Последнее обновление: 05.03.2019 - 23:50
Блоги

Intel and Facebook* Collaborate to Boost Caffe*2 Performance on Intel CPU’s

Автор: Andres Rodriguez (Intel) Последнее обновление: 01.04.2019 - 11:10
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.
Автор: Flavio Luis de Mello Последнее обновление: 24.01.2018 - 15:35
Article

Optimizing Edge-Based Intelligence for Intel® HD Graphics

What we call deep learning is typically associated with servers, the cloud, or high-performance computing. We are witnessing a reshuffling of compute partitioning between cloud data centers and clients in favor of moving applications of deep learning models to the client.
Автор: Последнее обновление: 24.01.2018 - 15:35