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Face It - Week 2 Update

Face It

Автор: Pallab P. Последнее обновление: 01.02.2018 - 15:33
Article

Face It – The Artificially Intelligent Hairstylist

Face It is a mobile application that uses computer vision to acquire data about a user’s facial structure as well as machine learning to determine the user’s face shape.
Автор: Pallab P. Последнее обновление: 24.01.2018 - 15:35
Блоги

Top Ten Intel Software Developer Stories | October

Learn to build a face access control solution, get horrified in a haunted high school, and be sure to register for the Intel® HPC Developer Conference this month.
Автор: Carman, Vicky (Intel) Последнее обновление: 05.02.2019 - 10:48
Article

解析京东大数据下高效图像特征提取方案

本文主要分享英特尔和京东在基于Spark*和BigDL*的深度学习技术在搭建大规模图片特征提取框架上的实战经验。

Автор: Jason Dai (Intel) Последнее обновление: 30.05.2019 - 15:55
Блоги

Top Ten Intel Software Developer Stories November

Announcing new IoT developer kits this month along with tips on which processor is right for your VR projects.
Автор: Carman, Vicky (Intel) Последнее обновление: 24.06.2019 - 11:30
Блоги

Top Ten Intel® Software Developer Stories February

This month we add persistent memory to our line-up. Read more about image classification, visualization and fly with the latest VR wingsuit!
Автор: Carman, Vicky (Intel) Последнее обновление: 12.04.2019 - 15:16
Article

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.

Автор: Liu, Mark (Intel) Последнее обновление: 03.07.2019 - 20:07
Блоги

Windows* Machine Learning: AI Acceleration on Intel® Hardware

Windows* Machine Learning (ML) is an inference engine running on the edge on the Windows operating system (OS) and provides a very simple developer interface that will be optimized under the hood for Intel hardware.
Автор: Coppock, Michael J (Intel) Последнее обновление: 03.07.2019 - 20:18
Article

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.
Автор: Milton-Barker, Adam Последнее обновление: 15.03.2019 - 14:07
File Wrapper

Semantic Segmentation Review

Автор: Последнее обновление: 11.03.2019 - 13:17