Learn the step-by-step process to train a Teachable Machine model to recognize Rock, Paper, Scissors hand poses and use it on a webpage. Follow this detailed tutorial to create classes, record data, train, test, and export your machine learning model.
Table of Contents
Question
Identify the correct sequence of steps you followed to train the Teachable Machine to identify the Rock, Paper, and Scissors hand poses and use it on a webpage.
- Train the model with the labels and data
- Test the model with a sample hand pose
- Create Rock, Paper, and Scissors as classes and record images as data for each class
- Export the model
A. 1->2->3->4
B. 2->3->1->4
C. 3->1->2->4
D. 3->2->4->1
Answer
C. 3->1->2->4
Explanation
The correct sequence of steps to train a Teachable Machine model to identify Rock, Paper, and Scissors hand poses and use it on a webpage is:
3. Create Rock, Paper, and Scissors as classes and record images as data for each class
1. Train the model with the labels and data
2. Test the model with a sample hand pose
4. Export the model
So the answer is C. 3->1->2->4.
Here’s a more detailed explanation of each step:
3. First, you need to define your classes (Rock, Paper, Scissors) in Teachable Machine and record image data of hand poses for each class. This provides the labeled training data the model will learn from.
1. Next, you click the “Train Model” button which trains a machine learning model using the labeled image data you provided. The model learns to associate the visual patterns in the images with each class label.
2. After training, you should test your model by showing it new hand pose images that it hasn’t seen before and seeing if it predicts the correct class. This lets you assess the model’s accuracy.
4. Finally, once you’re satisfied with the model’s performance, you export it so you can use it in other applications like a webpage.
The key is that you must define classes and record training data before you can train and test the model. Only after those steps can you export the trained model for use. Following the steps in the correct 3->1->2->4 sequence is crucial for successfully training an accurate hand pose classification model with Teachable Machine.
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