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Learn it your way
A short class with Sarah and her students. The other ways are under More.
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Today, we're going to learn about a fantastic tool called Teachable Machine! Has anyone heard of it before?
I think I saw something on Google about it. Is it really easy to use?
Absolutely! It allows you to create AI models without any coding. You can classify images, sounds, and even poses. What do you think is useful about that?
It sounds great for beginners like us! We get to understand AI concepts without getting overwhelmed.
Exactly! And what we learn here can apply to real-world scenarios as well. Remember, AI is all about data classification.
So, we can actually train a model to recognize our facial expressions?
Yes! This is similar to what you do with the emoji generator. Let’s keep that in mind!
In summary, Teachable Machine is a user-friendly tool that allows you to dive into AI training without needing coding skills.
Let's talk about the different types of experiments you can try with Teachable Machine. What are some ideas you think we could explore?
Maybe we could create an audio classifier! Like something that recognizes claps.
Great idea! Audio classification can help us understand sound recognition. What else?
We could also try pose classification! Like recognizing different yoga poses.
Yes! Pose classification involves identifying key points on the body. This could be fun and useful for fitness!
So each experiment helps us learn a specific AI concept?
Correct! Each type of experiment serves a different learning purpose, reinforcing important AI foundations.
To summarize, you can experiment with image, audio, and pose classification, each offering unique insights into how AI operates.
What do you think are the benefits of using Teachable Machine for learning about AI?
It's beginner-friendly and very interactive.
Absolutely! Plus, you can see results immediately, which is encouraging for new learners.
And I like that it lets us explore AI without needing to code!
Exactly! Teachable Machine enables you to dive into machine learning and understand the underlying principles at your own pace.
In summary, Teachable Machine is a fast, beginner-friendly tool that empowers users to create models and explore AI concepts interactively.
A tool that enables users to train machine learning models without coding.
The process of identifying and categorizing images according to pre-defined categories.
Recognition and categorization of various sounds by an AI model.
Analyzing human body postures with AI technology.
Teachable Machine, oh what a dream, models you train, no code is the theme!
Imagine you have a magical machine that can learn from your pictures and sounds. You show it your smile, and it knows to show a happy emoji in return. That's Teachable Machine!
TAP: Teachable for AI Projects - Remember to think about what you can teach the machine!
T.M. = Talk to the Machine - Interact and learn with it!
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Teachable Machine
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Image Classification
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Audio Classification
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Pose Classification
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A Google tool that allows users to train custom machine learning models with images, sounds, and poses without any coding.
A machine learning task where an AI model learns to categorize images into predefined classes.
The process of an AI model recognizing and categorizing different types of sounds.
Identifying and categorizing human body key points and postures using AI.
This section outlines various AI experiments using tools like Teachable Machine to engage students in machine learning model creation.
In this section, students are introduced to hands-on AI experiments, particularly using Teachable Machine, for tasks like image classification and audio recognition. The activities aim to enhance understanding of AI concepts through practical application and encourage interactive and beginner-friendly learning.
This section introduces students to engaging experiments using Teachable Machine, a no-code tool that allows for creating machine learning models related to image, audio, and pose classification. The experiments include:
The emphasis on these experiments helps demystify AI, making it accessible and fun for beginners, and sets a foundation for more complex explorations in artificial intelligence.