Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
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.
This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Spark Summit is a professional conference which usually has in attendance thousands of developers, scientist, analysts, researchers and executives from all over the world. At the conference, attendees come together to understand how big data, machine learning and data science could deliver new insights. The 2016 mid-year event of Spark Summit concluded today in San Francisco, California. Now the...
Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL 2019 and will be removed in the next intel® MKL Release.
Do you want to turn your Intel® NUC (Next Unit of Computing) DE3815TYKE – or any Linux* box running Ubuntu* – into an artificially intelligent, IoT-connected CCTV Hub? Then, this tutorial is for you!
What is it?
This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
Intel® Black Belt Software Developers, Intel® Software Innovators, & Intel® Student Ambassadors: November 2017
Intel® Developers and Innovators were bus