Week 3 Lesson 2

Yesterday

Today we will learn about sample size and its importance when training a machine model.

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Tomorrow

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)

Pairs, Groups,

Whole Class

(5 min)

This week, we will be learning about classification. Let's think about ways we may do this already.

I like to keep my ________ organized because ________.

In order to keep _______ organized, I ________.

(3 min)

(5 min)

In the video titled "Introduction to Classification Models," we learn that the computer can classify something based on its attributes. What are attributes?
What is the difference between an apple and banana based on size, shape, and color?

Partner A: Ask a question

Partner B: Answer the question

Partner A: "I agree/disagree with you because..."

Switch Roles & Repeat for Question #2

(6 min)

(2 min)

As a class, review the steps needed to complete the Does the Number of Samples Worksheet below.
Students, think about any questions you may have before you start.

(15 min)

Work side-by-side with a partner; each of you should have your own device.
Open the Week 3 Hyperdoc.
Open the Teachable Machine website.
On the website, click the pencil and rename Class 1 "Face", and then rename Class 2 "Face with Hand Up."
Record 10 samples of Face for Class 1. Then, record 10 of Face with Hand Up.
Click "Train Model."
Next, face the camera showing only your face.
Record in the 10 Samples Table the Output Face % and Output Face with Hand Up % (boxes A and B).
Next, raise your hand.
Record in the 10 Samples Table the Output Face % and Output Face with Hand Up % (boxes C and D).
Reload the Teachable Machine website to start a new test with 100 samples.
Repeat steps 3-7 but record 100 samples and enter your data in the 100 Samples Table.