Raspberry Pi 및 센서를 사용한 Python의 기계 학습(레벨 2)
AI Code Academy
인기 수업
평균 평점:4.7수강 후기 수:(1,572)
이 10개의 수업 프로그램에서 학생들은 사물 인터넷(IoT)의 개념과 Python 코딩 및 Raspberry Pi를 사용하여 다양한 센서를 제어하고 통신하는 방법을 배웁니다.
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수업 경험
Hardware Coding with Python on Raspberry Pi and Sensors (Level II) Lesson 1 – LCD Screen Designed to provide students with an introduction to I2C communication, as well as experience in displaying information on an LCD Screen. Task: LCD Screen Implementation Assist students with I2C setup, circuit creation, and development of code which will allow the screen to display the current time and CPU temperature. Lesson 2 – AD/DA Designed to provide students with a more in-depth view of various...
Prerequisites: Python experience (15 hours at least) and Raspberry Pi experience (10 hours at least) required Materials needed: we presume you already had the following hardware. If any parts are spoiled please repurchase from Amazon: 1, CanaKit Raspberry Pi 3 Kit with 2.5A Power Supply ($60) https://www.amazon.com/CanaKit-Raspberry-Premium-Supply-Listed/dp/B01C6EQNNK/ref=sr_1_3?keywords=raspberry+pi+3&qid=1575431887&sr=8-3 2, 32GB microSDHC Class 10 microSD Memory Card ($9) https://www.amazon.com/Kingston-32GB-microSDHC-microSD-SDCS/dp/B079GTYCW4/ref=sr_1_3?dchild=1&keywords=32GB+microSDHC+Class+10+microSD+Memory+Card&qid=1589205799&s=electronics&sr=1-3 3, Freenove Ultimate Starter Kit for Raspberry Pi 4 B 3 B+ ($50) https://www.amazon.com/Freenove-Raspberry-Processing-Tutorials-Components/dp/B06W54L7B5/ref=sr_1_1?dchild=1&keywords=freenove+ultimate+starter+kit+for+raspberry+pi+4b+3+b%2B&qid=1589205731&s=electronics&sr=1-1 4, If your computer doesn't have a SDHC card port, you also need to purchase a Vanja Micro USB OTG Adapter https://www.amazon.com/Vanja-Adapter-Portable-Memory-Reader/dp/B00W02VHM6/ref=sr_1_6?crid=27W57S4IKFGO9&dchild=1&keywords=sd+card+to+pc+adapter&qid=1591152969&sprefix=sd+card+to+pc%2Caps%2C149&sr=8-6
이 수업에서는 아웃스쿨 교실 외에도 다음의 툴을 사용합니다:
To join this course, students must have learned how to build physical models using Raspberry Pi and Python, or participated in our Machine Learning in Python with Raspberry Pi and Sensors. We presume you already had Raspberry Pi and Sensors and your Pi has been connected to your computer
Technical Requirements: PC (Windows 10) or Mac (macOS 10.13) with at least a 2GHz processor and 2GB of RAM (4GB of RAM is recommended). No Chromebook!!! Broadband internet with at least 1.8Mbps download and 900Kbps upload speeds. Please make sure to remove your firewall if any Webcam - Either external or built-in (many laptops have an integrated camera). Microphone and Speakers - We recommend headphones with an integrated microphone
인기 수업
평균 평점:4.7수강 후기 수:(1,572)
Project-based, STEM Coding + AI Programs + Mathematics Early registration, Sibling and Multi-Course Bundle discounts Available! The list of our summer camps can be found in this file:...
그룹 수업
₩289
10 수업용주당 1회, 10주
60분
53 명의 학생이 수업을 완료함
실시간 화상 수업
Ages: 11-15
수업당 학습자 3-8 명
