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Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Authored by Andres Rodriguez (Intel) Last updated on 03/11/2019 - 13:17
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How to Get Started as a Developer in AI

The promise of artificial intelligence has captured our cultural imagination since at least the 1950s—inspiring computer scientists to create new and increasingly complex technologies, while also building excitement about the future among regular everyday consumers.
Authored by Singh, Niven (Intel) Last updated on 03/09/2019 - 13:10
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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 01/24/2018 - 15:35
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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. 

Authored by Sergey Maidanov (Intel) Last updated on 05/25/2018 - 11:00
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如何安装 Python* 版英特尔® 数据分析加速库(英特尔® DAAL)

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a software solution that offers building blocks covering all the stages of data analytics, from preprocessing to decision making. The beta version of Intel DAAL 2017 provides support for the Python* language.
Authored by Gennady F. (Blackbelt) Last updated on 07/13/2018 - 14:32
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How Retailers Use Latest Techniques from Machine Learning

In recent years, machine learning and automation has taken over. Technology has adapted machines to the needs of a wide range of domains; even outperforming humans.

Authored by admin Last updated on 01/24/2018 - 15:35
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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.
Authored by Bryan B. (Intel) Last updated on 03/11/2019 - 13:17
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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.
Authored by Bryan B. (Intel) Last updated on 05/23/2018 - 11:00