• You can log in to your eeworld account to continue watching:
  • Practical applications of machine learning
  • Login
  • Duration:37 seconds
  • Date:2020/04/27
  • Uploader:Lemontree
Introduction
keywords: Machine Learning
Examples explain supervised learning, unsupervised learning, and reinforcement learning
Unfold ↓

You Might Like

Recommended Posts

PCB Handbook: Eliminate Schematic Design Errors with Automated Verification | Mentor Prize-giving Event
About the HandbookToday's complex designs no longer allow for manual review and verification of schematics. Xpedition Schematic Integrity Analysis provides fully automated schematic verification while
EEWORLD社区 PCB Design
6ull mini board size
A: Are there specific dimensions for the 6ull mini board? B: 6.5*9cm
明远智睿Lan Industrial Control Electronics
PCB package
I have just learned PCB drawing. After I draw the package of a component myself, how do I call the package?
inpopup PCB Design
2.4G and BLE
The company is developing and needs two functions: (1) 2.4G Radio function and (2) BLE4.0 Bluetooth function. Can you recommend a module that can realize these two functions at the same time?
王zhao Wireless Connectivity
stm32f769 register configuration SD card --- transplant fatfs
Yesterday, I started to transplant the fatfs file system based on the SD card reading and writing implemented last week. It was not very smooth at the beginning. I had never done it before, and I tran
star_66666 stm32/stm8
Troubleshooting methods for power supply in computer room
Troubleshooting methods for computer room power supply: In the environment of computers, servers and other equipment, the power supply system is equipped with high-speed undervoltage protection and th
songbo Power technology

Recommended Content

Hot VideosMore

可能感兴趣器件

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