In the last few lessons, you've been building a binary classifier.
One which detects two different types of objects, horse or human, cat or
dog, that type of thing.
In this lesson, we'll take a look at how we can extend that for multiple classes.
Remember when we were classifying horses or
human, we had a file structure like this.
There were subdirectories for each class, where in this case we only had two.
The first thing that you'll need to do is replicate this for
multiple classes like this.
It's very similar and here you can see that both the training and
validation have three subdirectories.
One for Rock, one for Paper, and one for Scissors.
In these, we can put training and validation images for Rock, Paper, and
Scissors.