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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
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.
Authored by Bryan B. (Intel) Last updated on 05/23/2018 - 11:00
Article

BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
Authored by Sunny G. (Intel) Last updated on 03/11/2019 - 13:17
Article

How to Install the neon™ Framework on Ubuntu*

This article presents a simple step-by-step way to install the neon framework in Ubuntu* 14.04 using the Anaconda* Python* distribution. It also guides users through what to do if errors are encountered during the installation process.
Authored by Nguyen, Khang T (Intel) Last updated on 06/10/2018 - 21:00
Article

Deploying BigDL on Microsoft’s Azure* Data Science Virtual Machine

Automated Installation of BigDL Using Deploy to Azure*
Authored by Last updated on 03/11/2019 - 13:17
Article

An Example of a Convolutional Neural Network for Image Super-Resolution

Convolutional Neural Networks (CNN) are becoming mainstream in computer vision. In particular, CNNs are widely used for high-level vision tasks, like image classification. This article describes an example of a CNN for image super-resolution (SR), which is a low-level vision task, and its implementation using the Intel® Distribution for Caffe* framework and Intel® Distribution for Python*.
Authored by Alberto V. (Intel) Last updated on 01/24/2018 - 15:35
Article

An Example of a Convolutional Neural Network for Image Super-Resolution—Tutorial

This tutorial describes one way to implement a CNN (convolutional neural network) for single image super-resolution optimized on Intel® architecture from the

Authored by Alberto V. (Intel) Last updated on 02/18/2019 - 11:57
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Unattended Baggage Detection Using Deep Neural Networks in Intel® Architecture

In a world becoming ever more attuned to potential security threats, the need to deploy sophisticated surveillance systems is increasing. This article discusses inferencing a Microsoft Common Objects in Context (MS-COCO) detection model for detecting unattended baggage in a train station.
Authored by admin Last updated on 05/08/2018 - 09:38
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.
Authored by Flavio Luis de Mello Last updated on 01/24/2018 - 15:35
Article

Building and Probing Prolog* with Intel® Architecture

This article explores what happens when Intel solutions support functional and logic programming languages that are regularly used for Artificial Intelligence (AI) and proposes a Prolog interpreter recompilation using Intel® C++ Compiler and libraries in order to evaluate their contribution to logic based AI.
Authored by Flavio Luis de Mello Last updated on 01/24/2018 - 15:35