Name: 測試神經網絡--《星際爭霸II》中的Python AI教程第12頁 (Testing Neural Network - Python AI in StarCraft II tutorial p.12)
Uploaded: 2021-01-14T12:27:51.000Z
Duration: 15 min 47 s
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Welcome to part 12 of the artificial intelligences in Starcraft two with python tutorial.

Siri's in the previous tutorials we built and trained on old Network.

So in order to do that, it's not too difficult.

All we're gonna do is I'm headed to part nine, uh, and scrolling on down to the very bottom where I post the full script and I'm going Teoh, copy that, Paste.

So this was the one that we used to actually build the data.

Now all we want to do is, rather than randomly attack, use the model to choose to attack.

So basically, we just want choice equals two rather than be random, be the model.

So not too many changes need to be done in order for that to happen.

So, uh, first of all, we're gonna come up to the tippy top and we're going to import caress.

Then what we're gonna do is, um I guess we could I think the first thing I'll do is we'll load in the model or so.

Both still is random, but also as the neural network.

So the way that I thought about doing that is to just have, like, a flag.

So like in in itself, after self, we'll have a used model.

And for now, I'll set the default to false Let's get rid of that space there, and then we're gonna say is if self dot use model.

So if that is the case, let's go ahead and just print out some information using model and then self top model equals Carrie.

And then in here, you'll put whatever model you're gonna load.

So again, the model the link is in part 11.

Um, you can come here and just download this model that's already trained.

Feel free to train your own if you want to try like a different model or something like that and see how you can do or you want to do more e pox or whatever have at it.

Um, I hosted all the data, hosted the models, do what you want, So anyways, this is the name of the model so I'm gonna hopefully highlight it.

Okay, So, um so now we've got the model itself.

Now, uh, now, what I want to do is at least I think before we start copy pasta thing, I'm gonna at least get the usage of the model in, so we'll come down here and then basically, what we need to do is have, like, an if statement here as well.

So if self dot use model, um, then we want Thio, you know, use the model.

Um else the choice is just take a random action.

Now, if we want to use the model, how would we have to do that?

Well, we would have to say something like that.

It's like prediction equals self dot model whoops, self, that model.

And then you use dot predict notation, and then to pass least the way predict works as you pass a an array or a list of things that you want to be predicted.

So then what we're gonna wanna pass is that, like, flipped?

So I'm gonna assume I heard already made that change.

Um, okay, so we want to predict self dot flipped.

Um, but we also need to reshape it with that whole negative one.

I don't actually think I mean, it's a parameter, but if the parameter is a list, these still Pepe have information on that anyway.

And then our choice would be numb pied a Argh.

Um, not just prediction, but zero with prediction, because again, we have to pass a list, and then it returns you a list of predictions, then, um at least in the text based version Editorial.

I did this little thing, and I really just did it for debugging.

So then we just have this little dictionary here.

And the text based tutorial, but not here.

I'm just simply outputting what the choice happened to be.

The next thing is, even if so, in this case, it was if you had, I'd avoid raise.

But the other question is, if, um so, like, we kind of want to do this like, cut here, and then let's pick.

Okay, so So we definitely like we don't need to be using our gpu to make predictions if we haven't met this if statement.

By that same token, we didn't mean need to be making the choice before.

Like, if we can't make the choice, we can't make a choice.

Okay, that was That's a lot of spaghetti going on.

Hopefully, hopefully we're gonna be all right.

Okay, So that should Well, so the default when we run center, but is actually off.

So what we'd want to say is, use model equals true.

So I'm gonna go ahead and run that, and we're gonna see that it fails.

And the reason it feels Let's see why he says these models falls if youse model has no attributes if self doubt use model.

We're gonna set that to use model because not only do we want a reference it here, but we want a reference it everywhere in this object.

At least right now, we just have, like, the one spot that we're trying to reference that, but we are referencing it outside of this innit method to Okay, Try again.

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測試神經網絡--《星際爭霸II》中的Python AI教程第12頁 (Testing Neural Network - Python AI in StarCraft II tutorial p.12)

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