Teachable Machine: Forskelle mellem versioner
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* [https://www.youtube.com/watch?v=n-zeeRLBgd0 Teachable Machine Tutorial 3: Export] | * [https://www.youtube.com/watch?v=n-zeeRLBgd0 Teachable Machine Tutorial 3: Export] | ||
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Nuværende version fra 23. maj 2024, 10:36
Teachable Machine er et super nemt og lærerigt værktøj for både børn og voksne! Du kan træne en "machine learning model" (AI) på få minutter ved hjælp af billeder eller lyde. Modellen kan eksporteres og bruges med eksempelvis PictoBlox, Python eller Javascript.
Teachable Machine kan anvendes direkte i browseren: https://teachablemachine.withgoogle.com/
Se de korte vejledningsvideoer for detaljerede instruktioner:
- Teachable Machine Introduktionsvideo
- Teachable Machine Tutorial 1: Gather
- Teachable Machine Tutorial 2: Train
- Teachable Machine Tutorial 3: Export
Teachable Machine Tutorials
Tutorial | Creator | Description |
---|---|---|
Bananameter | Detect the ripeness of a banana using the webcam | |
Snap, Clap, Whistle | Detect snaps, claps, and whistles using audio clips | |
Head Tilt | Detect which way my head is tilted with pose detection | |
Arduino Tiny Sorter | Use Arduino and TM to develop an ML robot which can sort an item by category | |
Teachable Arcade | Ryan Mather | Lesson Plan using Teachable Machine |
Emotion Detector | Digital Technologies Hub AU | Can AI guess your emotion? |
Gesture based Instagram Liker | USACS GitHub | Create an ML program which automatically likes posts on your Instagram feed when you show a thumbs up |
Image Classifier on Raspberry Pi | Adafruit | Create an Image Classifier and set it up to run with a Raspberry Pi controller and camera |
Integrate TM with Raspberry Pi | Michael D'Argenio | Develop a soft drink flavor detector with TM and set it up to work with a Raspberry Pi Camera |
Develop web app using TM and p5.js | The Coding Train | Create an Image Classification model with TM and integrate it into a web app using p5.js |