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Today we will learn how to train (or teach) an AI model to classify images that we upload for a real-world application.
Today we will learn how to train (or teach) an AI model to classify images that we upload for a real-world application.
41 min
41 min
1 - WARM UP (5 min)
2 - LEARN (3 min)
3 - TURN & TALK (5 min)
4 - UCSD DOES (6 min)
5 - WE DO (2 min)
6 - YOU DO (15 min)
7 - REFLECT & SHARE (5 min)
WARM UP
WARM UP
Pairs, Groups,
Whole Class
1
(5 min)
What are some different categories of food groups?
One example of a food group is _________. Some examples within this category are _________ and _________.
Compare the features of dairy and vegetables. Why are these two groups of foods in different categories?
Dairy and vegetables are different because dairy ___________ and vegetables ___________.
So, they are in different categories because ___________.
TURN & TALK
TURN & TALK
3
3
(5 min)
In the video titled "Machine Learning: Using Algorithms to Sort Fruit," we learn that the computer can determine the quality of food. Why do you think this company is using machine learning instead of humans to decide which food is best?
One of the Amazon employees explains, "Right now my team and I are actually teaching the machine to go through and understand what is a good piece of fruit vs. a bad piece of fruit." How can humans train machines?
Partner A: Ask a question
Partner B: Answer the question
Partner A: "I agree/disagree with you because..."
Switch Roles & Repeat for Question #2
UCSD DOES
UCSD DOES
4
4
(6 min)
WE DO
WE DO
5
5
(2 min)
As a class, review the steps needed to complete the Classifying Bananas Worksheet.
When you get started, you will see blue folders like the ones below in your hyperdoc. You will click on the folders to download the banana images onto your Chromebooks.
Students, think about any questions you may have before you start.
Work side-by-side with a partner; each of you should have your own device.
Open the Week 3 Hyperdoc.
Download the images onto your Chromebook from the three folders: Green Banana, Yellow Banana, and Brown Banana.
Open the Teachable Machine website.
Load Green Banana Images into Teachable Machine as Class 1.
Rename as Green Banana.
Load Yellow Banana Images into Teachable Machine as Class 2.
Rename as Yellow Banana.
Load Brown Banana Images into Teachable Machine as Class 3.
Rename as Brown Banana.
Click "Train Model."
Search the internet for two banana images to test.
Download and save them to your Chromebook.
Click "Choose images from your files..."
Load and test each banana image, one at a time, in your Teachable Machine model.
Record the Output % for Test Image 1 in box A, B and C.
Repeat for Test Image 2.
DO MORE
DO MORE
Find another video that shows how machine learning is being used to improve people's lives.
REFLECT & SHARE
REFLECT & SHARE
7
7
(5 min)
Today we learned to train teachable machine to identify banana quality.
Partner A: Share what you learned and talk about your process.
Today I _______. Let me show you...
Partner B: Respond to your partner with feedback.
I see you were able to ________.
Can you tell me about how you ________?
Switch roles!
Standards Alignment: AI4K12 3-A-ii, 3-A-iii.
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