As Deep Neural Network (DNN) applications grow in importance in various areas including internet search engines and medical imaging, Intel teams are working on software solutions to accelerate these workloads that will become available in future versions of Intel® Math Kernel Library (Intel® MKL) and Intel® Data Analytics Acceleration Library (Intel® DAAL). This technical preview demonstrates...
Theano* is a Python* library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays. Theano can be installed and used with several combinations of development tools and libraries on a variety of platforms. This tutorial provides one such recipe describing steps to build and install Intel-optimized Theano with Intel®...
英特尔 MKL-DNN 教程系列的开发人员简介从开发人员的角度介绍了英特尔 MKL-DNN。第一部分提供了丰富的资源，详细介绍了如何安装和构建库组件。
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。
本文将介绍使用面向 TensorFlow 的英特尔® 优化* 进行 CPU 推理的性能注意事项
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.