Intel® Media SDK & Intel® Media Server Studio Historical Release Notes

Release Notes of Intel® Media SDK include important information, such as system requirements, what's new, feature table and known issues since the previous release.

作者: Liu, Mark (Intel) 最后更新时间: 2019/07/03 - 20:07

探索专门用于英特尔® 架构的 Unity Technologies ML-Agents*

本文描述了如何在仅限 CPU 的环境中安装并运行 Unity Technologies ML-Agents*。本文展示了如何:在 Windows* 上训练并运行 ML-Agents,执行 TensorFlow* CMake 构建,以及从零创建一个简单的 Amazon Web Services Ubuntu* Amazon Machine Image* 环境。
作者: Bryan B. (Intel) 最后更新时间: 2019/07/05 - 18:55

Reducing False Negatives in the Invasive Ductal Carcinoma Classifier

This project tries to trick the model by using very similar, but opposite class, images from a small set of testing data that we believe humans may have difficulty telling apart.
作者: Milton-Barker, Adam 最后更新时间: 2019/03/15 - 14:07

Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)

    The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/03/21 - 03:01

Get Started with Intel® SDK for OpenCL™ Applications 2019 on Windows* OS

1. Overview

作者: MICHAEL C. (Intel) 最后更新时间: 2018/12/13 - 13:56

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/07/31 - 12:11

最大限度提升 CPU 上的 TensorFlow* 性能:推理工作负载的注意事项和建议

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
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/08/09 - 02:02

Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable Processors

Accelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/10/15 - 16:50

Get Started with Intel® Neural Compute Stick 2

Getting started steps for the Intel® Neural Compute Stick 2 and the Intel® Distribution of the OpenVINO™ toolkit.
作者: Neal Smith (Intel) 最后更新时间: 2019/10/16 - 11:26

How to Install the Python* Version of Intel® Data Analytics Acceleration Library (Intel® DAAL)

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.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/12/09 - 12:20