Name: 使用神經網絡打敗小行星遊戲 - JavaScript教程 (Beat Asteroids Game Using a Neural Network - JavaScript Tutorial)
Uploaded: 2021-01-14T10:41:37.000Z
Duration: 1 h 53 min 24 s
Description: 【看影片學英語】數萬部 YouTube 影片，搭配英漢字典即點即查，輕鬆掌握單字發音與用法，長久累積看電影不必再看字幕。

情態副詞

Heil and welcome to this new tutorial, Siri's, to create a neural network in JavaScript, which we will hopefully use to automate the game Asteroids.

Asteroids in another tutorial, Siri's so feel free to check that out and download the code from the links below.

There should be Sounds folder and an HTML file, so that's up in the game up.

So there's a triangular ship that can be moved around the string, and it can shoot yesterday.

So the goal of this tutorial, Siri's, is a very simple one, and intentionally so because new neural networks can be quite challenging.

The goal is to rotate towards the closest asteroid and shoot, rotate to the next closest asteroid and shoot.

We're going to train and Neural Network to do this.

Basically, they're made up of a number of layers, so in the import layer, a hidden layer and an output layer, you can't have multiple hidden layers, But we'll focus on just having a single hidden layer to keep things simple.

Now, the input layer it will take out game information so we could pass things such as the angle to the nearest asteroid or the current angle of the ship.

The hidden layers more like a processing layer, I guess.

Well, we'll probably have a single output whether to turn left or turn right.

We'll keep things nice and simple because these things can be quite complicated.

In between each of these layers is a whole bunch of black errors.

Now each of these black errors represent, await, await between minus one and one.

For each neuron in the previous layer, it sends out information to each of the neurons in the next layer.

So ultimately will be sending in some training data for example, the asteroid position and the ship's current angle or something similar.

And we'll feed that through with unexpected output, so either turn left or turn right now.

If it gets it wrong, will send that information back to the be in port, I guess, and use that to correct these whites so ultimately will be sending in thousands of points of information.

Correcting these waits until finally, we have a unique set of whites that can take any of our gain information and give us an accurate and reliable output.

Here's another position of a different asteroid.

We'll have to create a new job script file.

Just a plain text document called saying Neural Network Euro network.

Yes, and open both of those in your favorite editor arm using visual CEO code here.

The first thing we should do is set up a flag to let us know that automation is on.

So currently we have a whole bunch of flags in here.

How about we pull them out and we'll put them in a different section just to make it a little bit Tidier?

So let's create a new constant called automation automation on.

We'll set that to true initially, So when the automation is on, will want to set up a neural network So just after we set up the game parameters here, So after new game here, sit up the neural network.

For if automation is on, uh, let's leave ourselves to do here because we can't do it at the moment to dio Neural network.

Now, also, when the automation is on, we don't want the player to be able Thio Intro ll the ship, Dewey.

So kit key down yet Here we go, kid down and keep up.

So if the ship is dead or automation is on return, don't do anything so they can press the keys as much as I like, nothing will happen.

Similarly, in the key up method, If ship is dead or automation is on return, we'll let the computer control the ship.

Speaking of computers controlling ships, let's head down to the update function.

That's where all the objects drawn and moved, and so on.

So just the start of the update function to stop me here somewhere, how about we say, use the neural network thio control to rotate the ship and shoot and shoot?

So if automation is on, we'll leave ourselves to do.

Let's just make sure that we haven't broken anything, so I head up the top.

First of all, let's try it with the automation flag on.

And just to make sure that we haven't broken anything that senator false.

Yeah, I can control the ship in that situation.

So when it's turned on, when it's true, I've lost control of the ship or soon head over to our new file, a neural network dot Js At the top of that file, let's use a flag used strict and what you strict does.

It basically enforces good coding practice things like you must declare variables and so on.

We're also gonna focus on E s six JavaScript.

Now, years six is like the latest major revision to jab scripts in tax things like class and constructors and so on.

So we're gonna use that will try to use that throughout this tutorial.

Siri's now neural networks use a lot of math, specifically matrix maths.

So how about we create a heading here called matrix functions.

A matrix is essentially just a two dimensional array.

So it has a number of rows and a number of columns.

So I'm just making to stand out a little bit.

Well, how about we represented as a class the class matrix?

The constructor will take a number of rows and a number of columns.

And how about optionally Will have darter here as well.

So if we put an equal sign here, it said default value.

So the by default, it will be an empty array.

So inside the constructor, let's set the variables now, usually private variables.

Variables are prefixed with an underscore.

Do the same sort of thing for the columns and the data, calls and data and access those variables.

We should put some getters, so just get, uh, Rose.

And all that does is return this start, underscore Rose and do a similar thing for each of the other variables.

So they use that when we declare an instance of this matrix.

Would go and make Chick Stock rose and that would return this stock rose.

So inside the constructor, let's initialize uh, you socialize with zeros initialized with zeros if no data provided.

So if data equals now, somebody could pass now, couldn't they or data dot length equal zero.

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使用神經網絡打敗小行星遊戲 - JavaScript教程 (Beat Asteroids Game Using a Neural Network - JavaScript Tutorial)

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