Here we have an option for retraining and that for using the same data, but it will train the network
again.
So let's just click on it and see what would happen here.
Again, the validation check is stopped over training, but we have different performance purities.
This is a start of failing and failing.
And after six times, the process was already a setup.
Let's check the training estate.
OK, this one is over training estate and this is where the foundation is start to failing.
Let's check the regression testing.
This time is actually better.
I'm not very good.
Not very, but better than the previous time.
And here, just try it again and we can retrain.
You will see different output.
Let me check the performance.
OK, here is a different performance.
And finally, how can it fit?
OK, here is the fitting sample.
So you should actually expect a very different result.
But however, since it's choosing the data randomly, meaning each time it would be a bit different.
Now the team that I want to do is give it more samples and see how can our network behave if it has
more samples.