How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
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.
如何面向英特尔® 架构优化 Caffe*，训练深度网络模型及部署网络。
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.
在本篇中 （系列教程第二部分），将介绍如何配置集成开发环境 (IDE)，以创建 C++ 代码示例，并提供基于 AlexNet* 深度学习拓扑的代码详解。
Speed up your machine learning application code and turn data into insight and actionable results.
Intel® DAAL version : 2016 Gold Initial Release (w_daal_2016.0.110.exe)
OS : Windows* 8.1
IDE : Visual Studio 2013
Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL C++ examples included in the package.