I've generated a few that you can use to test,
they're at the URL in
the previous lesson with the training set,
test set, and validation set are all link to.
Download the RPS validation zip
from the link shown and in it,
you'll find 33 images of
different hand models ones that weren't using
the training and validation sets
and they're in different poses.
Let's now upload one of these to
the workbook and we'll try and get what happens.
I'm going to pick a paper pose,
and the classification comes back as 1-0-0.
When using the image generator,
the classes come from directories and
thus were sorted in alphabetical order.
So the first value is for
paper and then rock and then scissors.
So we can see that this is correct.
So if I try another one a scissors,
we'll see that the third neuron lights
up which is what I would expect.
Lets now try a rock,
and this one is a larger picture
hence the high resin filename,
and I want you to see how that would perform.
It's slower to upload and it needs to re-scale,
but we can see that
it gets classified correctly as a rock.
I can also upload all the files
at once and see classifications for them all.
So let's try that. I'm speeding
up the video to get past all the uploads.
So let's take a look at
the classifications that I get back.
Remember that the neurons are in
the order paper then rock
then scissors because it's alphabetical.
So we can see that
the first one is right.
The third one is correct
and the same with the fourth and the fifth.
So let's keep looking through the list.
They mostly seem to be correct.
The rest of the data
looks like it was classified correctly.
So that was a look at multiclass classification.
Hopefully, you found it interesting.