ClassX Video Lessons Subjects Artificial Intelligence Show Students How Machine Learning Works With Teachable Machine
Hello everyone! Today, we’re going to learn about a cool tool called Teachable Machine. It’s a fun way to understand how machine learning works, and it’s brought to us by Google. Let’s dive in and see what it’s all about!
Teachable Machine is a tool that helps us learn about machine learning. Machine learning is a type of technology that allows computers to learn from data and make predictions or decisions. This tool is perfect for showing how machine learning works in a simple and interactive way.
To start using Teachable Machine, visit the website at teachablemachine.withgoogle.com. It’s free to use! The website has a video and tutorials that explain the basics, so you can follow along easily.
When you click the “Get Started” button, you’ll see the main interface. The basic idea is to feed data into the system, which uses Google’s machine learning product called TensorFlow. You can use your webcam or microphone to input data, like images or sounds.
Let’s try an example with image recognition. You can use your webcam to take pictures of your face and label them. Then, you train the machine to recognize these images as you. You can also try it with other images, like pictures of a cat!
Once you’ve trained the machine with these images, it will start to predict what it sees. It’s fascinating to watch how it recognizes different images based on features like color and shape.
Teachable Machine is a great way to start discussions about machine learning. It’s a simple demonstration of how these technologies work, which are becoming more important in our world. You can even explore more advanced features, like exporting the code for computer science projects.
Overall, Teachable Machine is a fun and educational tool that helps us understand machine learning. It’s a great way to see how computers can learn and make predictions. So, give it a try and see what you can teach your machine!
Thanks for learning with us today! Remember to check out more resources at Common Sense Education. See you next time!
Visit the Teachable Machine website and explore the different tutorials available. Try out the image recognition example by using your webcam to capture images of different objects or faces. Label them and see how well the machine can learn to recognize them. This will help you understand the basics of machine learning.
Use the microphone feature on Teachable Machine to create a sound classifier. Record different sounds, such as clapping, snapping, or speaking, and label them. Train the machine to recognize these sounds and test its accuracy. This activity will show you how machines can learn from audio data.
Think of a simple project you can create using Teachable Machine. For example, you could train the machine to recognize different emotions based on facial expressions. Plan your project, gather data, train the machine, and present your findings to the class. This will help you apply what you’ve learned in a creative way.
In groups, discuss how machine learning is used in the real world. Consider areas like healthcare, transportation, and entertainment. Share your thoughts on how Teachable Machine can help you understand these applications better. This will broaden your understanding of the impact of machine learning.
Write a short reflection on your experience with Teachable Machine. What did you learn about machine learning? How did it change your perspective on technology? Share your reflection with the class and discuss any challenges you faced. This will help you consolidate your learning and improve communication skills.
Sure! Here’s a sanitized version of the YouTube transcript:
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Hello everyone, it’s Chrissy and Tanner from Common Sense Education. We’re back here, just like we are every Tuesday, coming to you with helpful tips, tools, news, and whatever you need. We’re here for you! You can check out Common Sense Education to see what we have. Right away, I’ll tell you that you’re going to find articles, reviews, curriculum, and many resources that you can use in your classroom.
Today, we’re here because Tanner has a tool that he’s going to show you that is amazing. Tanner, what is it?
You’ll also find this review of Teachable Machine at CommonSense.org. This is another interesting tool that I think you might not have seen before if you’re a teacher. Its best use is helping to illustrate to your students, particularly those in grades three through 12, how machine learning works. While you can do more with it, this tool is really great for illustrating the concepts of machine learning.
This is a product by Google, one of their experiments that they released to the public, and we thought it was pretty neat. However, it seems to be designed by engineers who may not fully understand the complexities involved.
Let me show you how easy it is to get started with this. Here’s the website: teachablemachine.withgoogle.com. This is a free tool to use. You go to the site, and they have a video that illustrates the basics of what you’ll be doing. They also have some tutorials that I would recommend, as they break down the basics.
Let me do a tutorial for you live. When you click the “Get Started” button, you’ll see the interface. The basic way machine learning works is that you feed a bunch of data into the system, which Google’s machine learning product, TensorFlow, uses.
You can upload a bunch of data into the machine, and then it can begin to make predictions about the data you’ve uploaded. You can use your webcam or microphone to input data, allowing for sound-based or image-based learning. They also have a pose version that recognizes full-body images, gestures, or movements.
For this example, I’ll be using image recognition from the webcam. I’ve uploaded a bunch of images of my face and labeled them. Now, I’m training the machine to recognize these images as me. You can also have it recognize other images, like a cat.
Let’s see how it does with the cat. You start to record images of the cat, and then you can begin to train your model. There are various tweaks you can make to get more in-depth, but I won’t go into that right now.
Once you’ve trained your AI on these images, it will begin to predict what is being shown. It’s interesting to see how it recognizes different images and opens up discussions about what part of the image it is recognizing—coloration, shape, etc.
This can serve as a nice kickoff to larger discussions or lessons about machine learning. It’s a quick demo that shows the basic logic of these technologies, which are becoming increasingly important in our classrooms.
For advanced students, especially in a computer science context, you can export the code and share it on platforms like GitHub. There are also lessons available that can help implement actual lessons in the classroom.
Overall, this tool is a neat way to introduce students to machine learning and its applications. Thank you very much, Tanner!
And remember to visit us at Common Sense Education. We’re here every Tuesday. Tell your friends, like, comment, and we’ll see you next time!
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This version removes any informal language, personal anecdotes, and unnecessary filler while retaining the core message and information.
Machine Learning – A type of artificial intelligence that allows computers to learn from data and improve over time without being explicitly programmed. – Example sentence: Machine learning helps computers make better decisions by learning from past experiences.
Teachable Machine – A tool that allows people to train a computer to recognize patterns using examples they provide. – Example sentence: Using a teachable machine, students can show the computer different pictures to help it learn to identify animals.
Computers – Electronic devices that can store, process, and retrieve data to perform various tasks. – Example sentence: Computers are used in schools to help students research and complete their homework.
Data – Information that is collected and used by computers to make decisions or solve problems. – Example sentence: The weather app uses data from satellites to predict if it will rain tomorrow.
Predictions – Guesses or estimates about what might happen in the future based on data or patterns. – Example sentence: The computer made predictions about which movies I might like based on the ones I watched before.
Interface – The part of a computer system that allows a user to interact with it, such as a screen or keyboard. – Example sentence: The game has a simple interface that makes it easy for kids to play.
Webcam – A camera that is connected to a computer and can capture video or images. – Example sentence: We used the webcam to have a video call with our friends who live far away.
Images – Pictures or visuals that can be displayed on a computer screen. – Example sentence: The computer program can edit images to make them look brighter and clearer.
Recognize – To identify something or someone from previous knowledge or experience. – Example sentence: The computer can recognize my face and unlock itself without needing a password.
Technology – The use of scientific knowledge for practical purposes, especially in industry and everyday life. – Example sentence: Technology like smartphones and tablets makes it easier for us to communicate and learn new things.
