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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

Improve Performance of K-Means with Intel® Data Analytics Acceleration Library

This article discusses an unsupervised machine-learning algorithm called K-means that can be used to solve the data problems.
Автор: Nguyen, Khang T (Intel) Последнее обновление: 24.01.2018 - 15:35
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
Видео

Get Started with the Intel® Deep Learning SDK

This video shows the Intel® Deep Learning SDK.

Автор: Gerald M. (Intel) Последнее обновление: 24.01.2018 - 15:35
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

借助英特尔® 数据分析加速库改进支持向量机

借助英特尔® 数据分析加速库改进支持向量机的性能 简介

在互联网广泛普及的情况下,文本分类已成为处理和管理文本数据的重要方式。文本分类用于对新闻报道分类和查找 Web 上的信息。例如,为搜索 Web 上的照片或区分马和狮子,必须采用相关机制对图片进行识别和分类。对文本或图片分类非常耗时。这种分类是一种出色的机器学习功能。[1]

Автор: Nguyen, Khang T (Intel) Последнее обновление: 24.01.2018 - 15:35
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

利用英特尔® Nervana™ 技术、neon* 和 Pachyderm* 实施 Docker* 化的分布式深度学习

机器学习和人工智能领域的最新进步令人惊叹!几乎每天都会出现新的突破性进展,从自动驾驶汽车到人工智能学习复杂的游戏。为了给公司带来真正的价值,数据科学家必须在公司的数据管线和基础设施上部署模型,不能仅限于在电脑上展示模型。

Автор: Daniel W. Последнее обновление: 08.05.2018 - 11:39
Article

英特尔® MKL-DNN:第一部分 – 库的概述和安装

英特尔 MKL-DNN 教程系列的开发人员简介从开发人员的角度介绍了英特尔 MKL-DNN。第一部分提供了丰富的资源,详细介绍了如何安装和构建库组件。
Автор: Bryan B. (Intel) Последнее обновление: 08.05.2018 - 10:50