123 How's my audio, everybody?

Good morning.

Happy Saturday.

It's like like the old days in Saturday morning when everyone would wake up and gather around the television tube, not the YouTube and watch cartoons.

And now you're all here gathered around the YouTube and watching the coating train.

It's very weird to be here on a Saturday, especially in the morning.

I don't think I've ever strike.

Probably streamed on a Saturday before.

I don't know that I've streamed on a Saturday morning before.

This isn't a particularly great time.

There's something about this time.

It's actually quite nice.

I feel sort of relaxed in a bit at ease.

Um, and I'm very glad to be here.

But also, you know, the weekend.

It's the weekend and there's lots of family stuff in other things.

Going on spoke.

I don't know that I'll be making a habit of this, Um, but but here we are nonetheless welcome.

It's so nice to see so many people here.

I don't actually see you, but I feel your presence feel more calm today for some strange reason.

Maybe because I've read the marathon last weekend, Um and, um I have a very particular topic that I want to focus on today, just quickly before I go.

That topic I want to just thank the sponsors today for Saturday is coding Train Live Stream, which are Dash Lane and Lynn owed.

So if you go to dash lane dot com slash coating train or leno dot com slash coding train, you can find out about both of these.

Web service is Dash Lane for as a password manager and Lynn owed as a cloud server, and I'll come back in the middle of live stream and talk to you a bit more about the sponsors and show you some clips and things features that they have and tell you about the coupon codes.

Okay, so huh um, console log.

Hello world says Cybertron.

No cyber crime.

It is, but still a bit low, and Nathan in the chat is, Well, it's Ah, Nathan is a very loyal viewer who has really been getting at me to do some, uh, upgrading of the audio equipment that I have is actually quite good.

I believe I have a lab might hear actually a shotgun mike over there that I don't use But what I really need to do is some fine tuning of the audio.

I use a piece of software called Open Broadcast Studio, Actually.

Check.

I don't believe I'm recording anything to disk right now.

I'm gonna add that it's right here.

I'm gonna start recording on and the focus is also done.

A point.

You know, I I'm out of my mouth of practice here.

It's Saturday morning, and I just like, what's going on?

I should be at home having brunch and putting my reading a nice magazine or book and listening to some jazz music on the radio.

Uh, you use this?

Not a sponsor, but favorite one of my favorite products called the Stream deck, which is by tool for focusing, because I put it over there and then I walk over to the camera and I focus on it.

Uh, there we go.

I think that's probably my eyesight is actually quite bad.

No, I can't even see.

Not enough.

I think that's better.

It's the one thing I want to mention today.

If you have been paying attention to the coating train YouTube General, you would be aware of this.

But if you're not.

If you go to the coding train dot com slash tm for teachable machine, we'll take you to a Web page, which has three videos that I actually two videos that I released this week and one that's still sitting on the channel as unlisted.

Other people are asking for the audio to be a little bit louder.

I'm always afraid to turn it up because I'm just worried about it peeking.

But everybody is telling me that it could be louder.

So let's, um, let me go.

I have a little dial.

Here's this little dial.

I see it here.

It's called, says Gain on it.

It's on this audio interface.

It's blinking green, and if I just turn it a little bit to the right, I have now made myself a little bit louder, I think.

And I see it's in the yellow, but not in the red.

The problem is, I get very excited.

Sometimes.

Run lime street.

I'm going into the red.

But a teachable machine is a ah project from Google Creative Lab that I referred to in a lot of my Ml five GS videos, and but they released a new version of it.

If I go to teachable Machine with google dot com, I will be on this web page, and it is a fast and easy way to create machine learning models for your sights, APS, amore.

No expertise is required, and you can see that.

So I'm not gonna go through this right now because I have three videos that go through it in quite a bit of detail, but I encourage you to check out the video about it.

They actually have their own tutorials that you could watch that are much more succinct.

It is like insane is mine.

So I don't know what your preferences, but if you wanna learn how it works, I would definitely recommend you watch theirs instead of mine.

If you want to watch somebody embarrass themselves for 15 or 20 minutes, then you can watch mine, Um, some wonderful projects.

And what?

What?

I'm excited.

One things I'm very excited about is how they've integrated the teachable machine machine learning models with all these other libraries and frameworks, in particular the P five Jess Library with the Ml five library.

So I don't wanna go through this now.

It really relates to what I do want to do in this session, which is, uh, look at a particular feature of the ML five library on that also deals with training a model.

But I would encourage you to check out my videos.

And in particular, I would really love to see what people make with this.

I mean, I love that for everything, but I'm particularly curious as to whether this methodology of working this interface in the browser that allows you to train a model and then download that model or export upload that model tow work with, say, P five J s and M l five.

If that's something that inspires people to make creative work.

And so, for all any of these videos, if you click on this to the tutorial button on dhe, there's actually the one of them has you'll see there's this area called community contributions and I want to see your community contributions here.

So So, please, uh, because I would like to come back and look at some of them and play with them on a future video.

There was one.

So I think if I go to the maybe the snake game, yes, So, um, Mika Crew Shell, who has been, ah, wonderful supporter of the channel in contributions on Get Hub.

Thank you so much for adding a lot of stuff to the website and things that I really appreciate that this is the only community contribution that I know of.

So let's try it.

And what?

One of the things that's really interesting about the system is if you train the model to say, using your webcam, it's going to learn the context of what your webcam is looking at.

So let's say you train it to recognize a banana versus an orange.

Would that still work when I look at it here in this context with the green screen behind me?

Um, all right, so I'm here.

I am loading.

I think the idea here is that I'm supposed to play rock paper scissors with the computer.

Yeah, I guess the computer is just winning.

Oh, no, I want I guess it's actually detecting the knighted scissors or having to paper.

It detected my paper.

That's awesome.

Of course I lost paper again.

I win.

Let's see, it doesn't detect rock, but here we go thinks that scissors thinks that's paper.

So a couple things I would say here is that interaction, design wise, just has a little critique here.

I'm kind of confused.

So what I think I understand is that's what the computer's picking.

And that's what I'm picking.

But what I'm what I'm really confused here is about the timing.

So I feel there's this, like, ready.

But I feel like what might be helpful is some sort of like Countdown timer get into position, because when you play it, one way to play the game is rock, paper, Scissors says, Shoot like that kind of thing.

So I wonder if there's some kind of way that it could step me through the process a bit more.

And maybe the visual language of this being bigger is meaningful and the like.

The Emojis is like, What's the computer versus me?

Are also, I think, quite effective.

But something about the difference in sizes and the placement.

I like that the video is there but kind of faded into the background.

That's kind of I think, a nice idea, but I think that maybe there could be some other ways to think about how to do the interface I also am really lost in finding myself because I think this is cropped and I would I would always I would mirror the video because it just makes interacting with things much easier because oh, no, it is mirrored.

It is mirrored.

Stephanie mirrored.

I just was Oh, I see.

Maybe it's doing that on purpose so that if I put so that there we go I see this is what it wants me to do.

So maybe there could be there could be a bit of a stage where it lets you kind of get set.

And it seems there's a moment also where it's like freezing.

And that's where I find that very distracting eso.

I kind of want to see it always great.

So I want to see more of these.

Oh, Mika's in the chat.

The timer is the pink bar at the top.

Okay, I got it.

I see.

I see.

And Simon is saying that there have been a bunch of community contributions from the interactive drawing video.

So maybe I will.

Let's go, Let's go.

Let's go take a quick peek at that.

One thing I need to do so I have this iPad here where I can play and the cold.

Let's conjecture.

Okay.

Okay, everybody, settle down.

Settled out.

Um, it only has 2% battery left, so I'm going to unplug Go plug over here.

So I won't have any music for a little while when we let this charge up, but it'll charge up by hopefully the time that I need music.

All right, let's check out what else is happening on the channel here.

There's the interactive drawing was one of a recent video that I can take a look at and also the coal lots conjecture.

I haven't had the time to do another one of these cabana videos, which I'm very sad about.

Ironically, I probably would have done one this morning if I wasn't coming here.

Do this live stream, but too many things to do.

Okay?

I don't see any community contributions for this one yet.

I'm shocked.

I'm shocked.

I'm shocked.

After committing contribution for this video, let's check out the cool s conjecture.

That definitely have been a much whoa.

There's a lot.

Amazing.

Let me just do a quick click through.

I'm just gonna open them all up.

This one for some reason, doesn't have a link.

Let's zip in that.

This is probably a bad idea what I'm doing.

Let's let's just let's just look through these, okay?

Of course.

Little Rainbow Cola's conjecture.

Visualization.

Gotta love that.

This is by a sequential chaos.

Now we've got one.

That is by Al Barco.

Looks pretty similar to mine, but there's probably something different here that I'm not aware of.

Let's see if it says growing visual ization.

Oh, no, no, no.

This is this is not similar than mine.

I made a version of this like this myself just to make a gift to post on Twitter, but this one is actually animating it.

I forgot that my video drill doesn't animate it, so that's wonderful.

Thank you for that.

Um, cola tree refresh.

Oh, sod.

Where's the tree?

Why is it showing me all this nonsense?

Okay, I'm not sure what's happening with this one.

We can click on looking at the code and try running it here.

You have to click.

I probably to click or something.

No, I'm not sure what's going on here.

Um, Donna, we let me know.

I'm happy to try showing it again.

Um, this is Ah, Cole.

Lots visualization from a spectral flame Added code for animated and static drawing.

So one thing I would certainly recommend if you can, let's see, is thio to read me file with, like, a gift animation or a screenshot that scroll down the page says Simon, Let me go back to that one.

The coal, it's growing tree.

Let's go back to Ah, it was just It was just taking up a lot of space.

There it is, Another growing one.

And I like the color selection here.

The green.

This is a good team.

Trees.

You have a major team trees donation.

Please go ahead and do that.

Um, who hears it?

Really?

Net.

Look at this one.