AcademicContent
iot-curriculum
| AcademicContent | iot-curriculum | |
|---|---|---|
| 1 | 1 | |
| 2,644 | 159 | |
| 0.3% | 1.3% | |
| 0.0 | 0.0 | |
| 5 months ago | 10 months ago | |
| Jupyter Notebook | JavaScript | |
| MIT License | MIT License |
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AcademicContent
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Microsoft-Build-Student-Developer-Drop-in-day
Write code to play the Microsoft Match Game. Our version of the popular card game where you have to find two cards with the same image to make a match. But in our Game, no two tiles are the same. You have to match up the tiles that contain the same subject matter using the A.I. power of Azure Cognitive Services to analyse the images on each tile and to determine what subject of each image is. You start with a set of tiles face down and you get to turn over two tiles at a time in order to match tiles in pairs, but, unlike the usual version of the matching game, you are not looking for two identical images. You have to use Microsoft’s Cognitive Services to understand exactly what the content of each tile image is. Then you need to find another tile with the same content. Interested in taking part watch he following introduction Video read the game instructions and join the AI Gaming Challenge
iot-curriculum
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Using TinyML to identify farts
TLDR; Find a complete hands-on lab to build a TinyML audio classifier at github.com/microsoft/iot-curriculum/tree/main/labs/tiny-ml/audio-classifier.
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Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
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