Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
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.
Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
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.
Automated Installation of BigDL Using Deploy to Azure*
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*.
This tutorial describes one way to implement a CNN (convolutional neural network) for single image super-resolution optimized on Intel® architecture from the
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.
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.
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.