Training

Location:Training / Machine Learning/Algorithm / Computer Vision and Deep Learning / Classic network analysis (Part 2) & image segmentation

You can log in to your eeworld account to continue watching：
Classic network analysis (Part 2) & image segmentation
Login

Duration：1 hours and 32 minutes and 11 seconds
Date：2021/08/31

Uploader：桂花蒸

Introduction

keywords： Machine Vision deep learning

Computer Vision and Deep Learning (Graduate Course) Lu Peng, Beijing University of Posts and Telecommunications

You Might Like

Recommended Posts

TI Sample Request: I haven't applied for TI samples for a long time. I tried today but failed. I applied many times before but failed. I don't know why. (School student); 568760310 TI Technology Forum

UV Sterilization Box TI Solution: The UV sterilizer uses the principle of ultraviolet light to disinfect bacteria. The UV LED can generate ultraviolet light in the 260nm~280nm band, directly cutting off bacterial DNA/RNA and completel; qwqwqw2088 Analogue and Mixed Signal

There is a hold time problem during full compilation. Please help me.: [table=98%] [tr][td]I am writing FPGA programs recently. I have written some small programs before. This time I am writing a larger project, using the cyclone 3 EP3C40 chip. When using this chip, you; melody881019 FPGA/CPLD

Hardware Engineer: Suddenly, I thought, which industries do hardware engineers work in, and which ones have better value, career stability, and income. For example: 1. General consumer electronics industry. 2. Automotiv; Fred_1977 Talking

WeChat Mini Program IoT Solution: ZLAN IoT WeChat Mini Program - IoT SolutionsThe "ZLan IoT" WeChat applet is a simple and effective way to conveniently view the current data, historical data, and control devices of IoT devices. The r; wzzlin123 51mcu

SystemC Learning Courseware: SystemC learning courseware, download it if you need it!; nathanlgy FPGA/CPLD

Recommended Content

Hot VideosMore

Hot ArticlesMore

Circuit

可能感兴趣器件

完成课时学习+分/次

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews

Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京B2-20211791 京ICP备10001474号-1 电信业务审批[2006]字第258号函

京公网安备 11010802033920号