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We use this 3 weeks learning package for a little more exploration for AI topic. We don't go much deep in how it works, but will try to bring basic concepts (collect data, train model, run model) about how the AI-based tools like Teachable Machine can make our projects cool and fun! We actually had a one-time session earlier 24w49 Innovation Session on AI using Micro:bit CreativeAI to build gesture controlled vehicles, and now we want to help and inspire our students further, by taking some practical projects using AI features.
Goals
Goals
Basic concept of AI Machine Learning for robotics projects
Starting experience with Teachable Machine for image projects
Build fun project enabled by Teachable Machine
Contents
Contents
Click the link of each session heading for detailed plan & log, achievements & celebrations, findings & improvements, cost summary.
Teachable Machine basic what and how
Try to train your model to identify your object, try to get a satisfying result, think about what matters, read some materials
Cancelled due to unavailable classroom
Review: Teachable Machine, what we did, what you found, what questions
Project demo: Use Teachable Machine model with Micro:bit, run JavaScript program for the model in web browser, send the object detection result to Micro:bit via Web Bluetooth.
Feedbacks and Suggestions
Feedbacks and Suggestions
Welcome providing any feedbacks, inputs or suggestions to "START A BIT" learning activities so far, the survey is not limited to the current Learning Package.
It's completely anonymous and voluntary! Just share anything that you want to say, without any trace of your identity.
Of course, you are always welcomed to directly talk to us face to face, instant messaging, email or any other way. This form serves as a supplementary way.
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