Imagine you are a machine and you are learning how to categorize objects in order to learn how to differentiate objects. Then, using what you have learned, you will apply that learning to see if you can correctly identify objects that are cats and not cats.
Imagine you are a machine and you are learning how to categorize objects in order to learn how to differentiate objects. Then, using what you have learned, you will apply that learning to see if you can correctly identify objects that are cats and not cats.
What do the images on the left have in common that the images on the right don't have?

What do the images on the left have in common that the images on the right don’t have?

What do the images on the left have in common that the images on the right don’t have?

What do the images on the left have in common that the images on the right don’t have?

What do the images on the left have in common that the images on the right don’t have?

Answer the following questions (yes or no) based on your previous experience to determine if each image is a cat or not a cat:

Does it have 4 legs?
Does it have fur?
Does it have whiskers?
Is it smaller than a laundry basket?
Based on the data, is it a cat?
Answer the following questions (yes or no) based on your previous experience to determine if each image is a cat or not a cat:

Does it have 4 legs?
Does it have fur?
Does it have whiskers?
Is it smaller than a laundry basket?
Based on the data, is it a cat?
Answer the following questions (yes or no) based on your previous experience to determine if each image is a cat or not a cat:

Does it have 4 legs?
Does it have fur?
Does it have whiskers?
Is it smaller than a laundry basket?
Based on the data, is it a cat?
Answer the following questions (yes or no) based on your previous experience to determine if each image is a cat or not a cat.

Does it have 4 legs?
Does it have fur?
Does it have whiskers?
Is it smaller than a laundry basket?
Based on the data, is it a cat?