In this session, we're going to talk about plots and what can we do with them here?
They are just like command.
If you remove this person sign, then you can see each of them.
Let's see the plot histogram for running this plant.
I'm going to just select it and then F and F nine to see the histogram.
Look at the information that we can see here.
I can see the zero error and that's the only information that I have.
But if you select the plot list and then check the help for this point, just F in an F one, you can
see some information like the scene, the difference in Texas that you can use with this plot histogram
by default, it just use this spawn, which is a simple part.
But here we can have different errors and then give it a name or two and the name.
And here we have another syntax for this plot histogram, which are declaring their beans as well.
There are some more information and some examples, and you can just review them back here.
I'm going to change it a little bit.
Since I already defined in recalculating training validation, I calculated the training errors and
I just defined with a variable name train errors, the same for validation, errors and testing errors.
Here is what we were going to do.
Let's just call the train errors and then give it a name like train.
Errors and also I want to see the testing part or let's see the validation part while errors.
This is the name of the variable and then give it a name like validation errors.
Selectees can't run it.
OK, here we can see more information now we can see the validation error showed by color of green and
training error, which is color of blue, and we can see their names as we defined it here.
Since we have three, let's just add the past or as well.
Just this time, I'm going to type air to see the differences.
OK, here we can also see the test errors here in this part, and this is a name that I gave.
There are several things that you can do, even you can define a new plot, for example, for the plot
histogram.
We have another, which is his tweet.
So if we want to see the feet that can use Heyst Ft code for the highest feed, you can select and see
what order?
Texas.
We have several syntaxes like the data and then the number of means.
So let's just check it here.
Training errors.
I want to see four train errors and I want to see for ten.
Now let's run.
I can see the photograph on days, you can select any of these options to see the information and of
course, you can change the colors and the markings.
Murrayville, we have another plot here, which is plot regression.
You can do the same for the rest of them, just selected and F and F one to see difference in taxes
for the plot regression.
You can also choose your target and then the output and give it a name.
OK, that's all you need to know about the plot.
Not even a job to advance a scrape to satisfy your needs and the applications that you're looking for
you for writing a paper.
This amount of information would be enough for you to analyze different data, train and network and
see the output.