So I have trained this model and I got 94 accuracy and around zero point 18 lost, which is way better
than what the results we got before.
Now, let us go back to validation and use the new model in order to do that.
But first, let us test it with the old model, see the result and then jump to the next model.
OK, so this is the old model that's called numbers, not version two.
This is just numbers version one.
So I'm going to start I'm going to see what type of result will I get on this picture.
That's good, we got zero point four eight, which is not really the best result we could get.
This is a low probability, actually, and it's getting this for class two now.
It could give us the glass correctly, no problem with that.
But we would be hoping to get more higher probability than that.
So if I change the model now of the two and I just started, let's see what probability would I get
and if it will get the right class correctly.
Here we go, we get the last number two, which is correct, because here we are predicting number two
actually here and we can see that the probability we get is zero point eight five, which is double.
So right now, our model is able to even learn better.
Now, I want to challenge you and I just want you to keep tweaking those parameters and see what kind
of accuracy and what kind of laws you would get.
And I would encourage you to bring more handmade photos or photos from the Internet for those handwritten
numbers and pass it to the CNN to see if you would get the same results.
OK, this is it for the section.
We have learned a lot of techniques regarding deep learning.
I hope you have enjoyed it and see you later.