Caffe* is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC). Caffe optimized for Intel architecture is currently integrated with the latest release of Intel® Math Kernel Library (Intel® MKL) 2017 optimized for Advanced Vector Extensions (AVX)-2 and AVX-512 instructions which are supported in Intel® Xeon® and Intel® Xeon Phi™ processors (among others). This article describes how to build Caffe optimized for Intel architecture, train deep network models using one or more compute nodes, and deploy networks. In addition, various functionalities of Caffe are explored in detail including how to fine-tune, extract and view features of different models, and use the Caffe Python API.
This article and sample application show you how to use the Intel® RealSense™ camera (R200) and the Enhanced Photography functionality that is part of the Intel® RealSense™ SDK. The article separates the Intel RealSense SDK functionality from the GUI layer code to make it easier to focus on the R200 Enhanced Photography functionality.
The second part in the Intel® Software Guard Extensions (Intel® SGX) tutorial series is a high-level specification for the application we’ll be developing: a simple password manager that provides the same core functions as a commercial product while following good security practices, which we'll then use as a learning vehicle for designing for Intel SGX.
This first article in the Intel® Software Guard Extensions (Intel® SGX) tutorial series is a brief overview of the technology. Learn how Intel SGX can protect your application's private information, including passwords, account numbers, financial information, encryption keys, and health records.
Announcing a new multi-part tutorial series to help software developers integrate Intel® Software Guard Extensions (Intel® SGX) into their applications. The series will guide you through building an Intel SGX application, beginning at application design and running through development, testing, packaging, and deployment. This in-depth look at enabling Intel SGX in a single application provides developers with a hands-on and holistic view of the technology as it is woven into a real-world application.