Professional Courses
Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Categories
Interactive Games
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Typing
Memory
Math
English Adventures
Knowledge
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Interactive Audio Lesson
Listen to a student-teacher conversation explaining the topic in a relatable way.
Introduction to Teachable Machine
Unlock Audio Lesson
Today, we will explore Teachable Machine, a tool that allows you to train your own AI models without coding. Can anyone tell me what they think AI involves?
Is it about teaching computers to think like humans?
Great! That's a part of it. Teachable Machine focuses on training AI to recognize patterns from data, which is essential in AI applications. Remember, AI stands for Artificial Intelligence.
What kinds of patterns can it learn?
It can learn to identify images, sounds, and even poses. We’ll dive deeper into those areas. A helpful way to remember what it can identify is to think of 'I See P' – Images, Sounds, and Poses.
By using Teachable Machine, you can train models quickly and interactively.
So, I can create something fun like a game?
Absolutely! It encourages creativity while learning about AI. Let’s summarize: Teachable Machine is beginner-friendly, interactive, and no coding is required.
Experiments and Applications
Unlock Audio Lesson
There are many fun experiments you can conduct using Teachable Machine. Let’s discuss a few! Who can tell me an experiment they find interesting?
I like the idea of audio classification! What can we do with it?
Excellent choice! With audio classification, you can train the model to recognize different sounds, like claps or whistles. This could be used to control a game or have fun effects in a music app.
Can we do that with gestures as well?
Yes! Pose classification allows you to recognize different body movements. You could create games that react to your movements.
That sounds so cool! What do we need to start?
Just a computer with a webcam and the Teachable Machine website! To sum up, you can experiment with images, sounds, or poses to create fun projects.
Benefits of Teachable Machine
Unlock Audio Lesson
Let’s talk about why Teachable Machine is such a beneficial tool for learning about AI.
Is it because anyone can use it?
Exactly! It removes barriers for beginners. You can explore AI concepts interactively, which enhances understanding.
Can I use it to prepare for more advanced projects later?
Yes! You can export your models to TensorFlow for more complex applications. It’s a great stepping stone.
So, it’s like starting simple and then moving to more advanced skills?
That’s right! As a final point, remember 'Interactive, Accessible, and Advanced' – these are the key benefits of Teachable Machine.
Introduction & Overview
Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.
Quick Overview
Standard
In this section, we explore Teachable Machine, a Google tool that simplifies the training of machine learning models in a visual, code-free environment. This platform allows students to experiment with custom models across different media types, fostering an understanding of AI applications and concepts.
Detailed
What is Teachable Machine?
Teachable Machine is a revolutionary browser-based tool developed by Google designed to make machine learning accessible to everyone, even those without programming expertise. This platform allows users — particularly students and educators — to train custom models in three main categories: image, audio, and pose classification.
Experiments to Try
- Image Classification: Students can train models to recognize various images, such as identifying objects or facial expressions, closely resembling tasks like the emoji generator.
- Audio Classification: This includes recognizing sounds like claps and whistles, showcasing the tool's versatility.
- Pose Classification: Students can build models that identify specific body postures, making it relevant for applications like fitness or gesture-controlled games.
Why Use Teachable Machine?
- It is beginner-friendly and requires no coding skills, making AI education inclusive.
- Offers rapid model training with high interactivity, allowing students to visualize and engage with the learning process.
- Students can export their models to TensorFlow, providing a pathway to more advanced machine learning projects.
Overall, Teachable Machine serves as an effective gateway into the world of AI, enabling learners to create real-world applications while grasping fundamental concepts of machine learning.
Youtube Videos
Audio Book
Dive deep into the subject with an immersive audiobook experience.
Introduction to Teachable Machine
Unlock Audio Book
Signup and Enroll to the course for listening the Audio Book
A browser-based tool by Google that allows students to train custom machine learning models in image, sound, and pose without coding.
Detailed Explanation
Teachable Machine is a user-friendly, online tool created by Google. It enables anyone, regardless of coding skills, to train their own machine learning models. This means you can create models that recognize things like images (e.g., recognizing different objects or body poses) and sounds (e.g., distinguishing between different noises) just by using your web browser. The platform is designed to be simple and engaging, making it ideal for students and beginners.
Examples & Analogies
Imagine Teachable Machine like a cooking recipe book. Just as a recipe gives clear steps on how to prepare a dish without needing to be a professional chef, Teachable Machine provides clear instructions that allow you to create AI models without any programming background. You can mix and match ingredients (data types) to create your own unique dish (model).
Experiments to Try
Unlock Audio Book
Signup and Enroll to the course for listening the Audio Book
Experiments to Try
- Image Classification (similar to emoji generator).
- Audio Classification (e.g., recognize claps, whistles).
- Pose Classification (e.g., yoga poses).
Detailed Explanation
Teachable Machine offers several experiments that you can run. You can try image classification, where the model learns to recognize different images (like your happy or sad face, just like the emoji generator). You can also do audio classification, which involves teaching the model to recognize sounds, such as clapping or whistling. Finally, pose classification allows you to train models that can see if someone is doing a particular pose, like in yoga. These experiments help you see how machine learning operates across different types of data.
Examples & Analogies
Think of these experiments like different science projects in school. Just as you might build a volcano for learning about reactions, you can create models that recognize images or sounds with Teachable Machine. Each project gives you a hands-on experience with AI, similar to how you learn science through practical experiments.
Why Use Teachable Machine?
Unlock Audio Book
Signup and Enroll to the course for listening the Audio Book
Why Use It?
- Beginner-friendly.
- Fast training with high interactivity.
- Can export models to TensorFlow for advanced use.
Detailed Explanation
Teachable Machine is particularly beneficial for beginners because it is easy to use and highly interactive. You can quickly create, train, and test your models, seeing the results of your changes immediately. Moreover, if you want to take your learning further, you can export your models to TensorFlow, which allows for more advanced applications of machine learning. This export feature means that after initial learning and experimentation, students can delve into more complex projects if they choose.
Examples & Analogies
Consider Teachable Machine as an easy-to-use music software. In the same way that beginner musicians can pick up software and start creating songs without needing deep technical knowledge, students can use Teachable Machine to delve into the world of AI without feeling overwhelmed. And just like musicians can eventually record and produce their songs professionally, students can export their Teachable Machine models to work on more advanced projects.
Definitions & Key Concepts
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
-
Teachable Machine: A tool for creating machine learning models easily.
-
Image Classification: Identifying and categorizing images through AI.
-
Audio Classification: Learning to recognize sounds using AI models.
-
Pose Classification: Recognizing body postures with machine learning techniques.
-
Interactive Learning: Engaging and hands-on approach to understanding AI.
Examples & Real-Life Applications
See how the concepts apply in real-world scenarios to understand their practical implications.
Examples
-
A student creates a model to classify different yoga poses and uses it to develop a fitness app.
-
A class uses Teachable Machine to build an audio classification model that responds to clapping, which operates a game.
Memory Aids
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
🎵 Rhymes Time
-
Teachable Machine, simple and neat, makes learning AI a fun treat!
📖 Fascinating Stories
-
Imagine you’re a game creator. With Teachable Machine, you quickly teach a robot to recognize your dance moves! Your friends join in and have fun, all thanks to AI.
🧠 Other Memory Gems
-
Remember 'I See P' for the types: Images, Sounds, and Poses you can teach!
🎯 Super Acronyms
TAP
- Teachable Machine
- AI Projects.
Flash Cards
Review key concepts with flashcards.
Glossary of Terms
Review the Definitions for terms.
-
Term: Teachable Machine
Definition:
A tool developed by Google that allows users to train machine learning models for image, sound, and pose detection without coding.
-
Term: Image Classification
Definition:
The process of identifying and categorizing different images based on trained patterns in machine learning.
-
Term: Audio Classification
Definition:
A method used to recognize sounds and distinguish between different audio inputs.
-
Term: Pose Classification
Definition:
The technique of identifying and analyzing human body postures from images or video.
-
Term: ML (Machine Learning)
Definition:
A subset of AI that enables computers to learn from data and improve their performance over time.