Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
作者: Andres Rodriguez (Intel) 最后更新时间: 2019/03/11 - 13:17

Mode collapse in GANs

Hello everyone! 

作者: 最后更新时间: 2018/12/12 - 18:00

Traffic Light Detection Using the TensorFlow* Object Detection API

This case study evaluates the ability of TensorFlow* Object Detection API to solve a real-time problem such as traffic light detection on Intel® Xeon® processor-based CPU machines.
作者: 管理 最后更新时间: 2018/05/08 - 09:30

Use Machine Learning to Detect Defects on the Steel Surface

This article provides an effective and robust approach to detect and classify metal defects using computer vision and machine learning.
作者: SAURABH G. 最后更新时间: 2019/02/22 - 11:20

使用 TensorFlow* 对象检测 API 实施交通灯检测

本案例研究评估了 TensorFlow* 对象检测 API 处理一个实时任务的能力,即在基于英特尔® 至强® 处理器的机器上进行交通灯检测。
作者: 管理 最后更新时间: 2018/08/13 - 23:08

Getting started with the Intel® DevCloud

Hello all! Happily, this article refers to the Intel® DevCloud! If you don't have access, sign up for it now.

作者: Karl Fezer (Intel) 最后更新时间: 2019/09/05 - 14:37

Second Generation Intel® Xeon® Processor Scalable Family Technical Overview

New features and enhancements available in the second generation Intel® Xeon® processor Scalable family and how developers can take advantage of them
作者: David Mulnix (Intel) 最后更新时间: 2019/09/30 - 17:28

第二代英特尔® 至强® 可扩展处理器产品家族技术概述

介绍第二代英特尔® 至强® 可扩展处理器产品家族的新特性、增强功能以及为开发人员带来的优势
作者: David Mulnix (Intel) 最后更新时间: 2019/10/15 - 16:40