WHO ARE YOU? 10k Subscribers Special (w/ Channel Analytics)
deep learning machine learning arxiv explained neural networks ai artificial intelligence paper special
An in-depth look at this channel's analytics.

Links:
YouTube: https://www.youtube.com/c/yannickilcher
Twitter: https://twitter.com/ykilcher
BitChute: https://www.bitchute.com/channel/yannic-kilcher
Minds: https://www.minds.com/ykilcher
 Hi there! We have just crossed 10,000 subscribers on this channel and that is an absolutely mind-blowing number. To everyone who's subscribed, thank you! And today, for a bit of a special occasion, I thought we would look at you. Yes, you handsome! One of the 10,000 subscribers of this channel. And we're going to dive into the YouTube analytics and see who you are and what you like and how you behave. So if you've never done YouTube as a creator, this is what it looks like. You can see right here, there are 10,071 subscribers right now. And if you look at the videos, Attention Is All You Need is the most popular video on this channel. It is also one of the oldest videos on this channel. Probably it's in many university curricula now and there's like half a lecture allocated to it. And that is not enough to understand this paper. So people come to this channel. I was still using kind of Adobe Reader at the time and etching in sort of... There's only one color, it's super laggy, but for some reason people like it and I'm not going to debate with people about what they like and what they don't. I might do another one on Attention Is All You Need just because I understand Transformers much better nowadays and I think I could do a better job at explaining them more clearly. So a lot of the NLP models tend to do very well as videos because I think people are interested and practitioners are interested and they just want to learn about these models and what they're doing. Also, there's Siraj controversy, very popular. It was a fun event and a sad event. This video right here, Deconstructing Lottery Tickets. It just outperforms all the other videos, absolutely mind blowingly rockets over everything. But if you look at the retention, I only retain people for two minutes on average, which is the retention is the lowest of any of my videos. And I could not understand this for the longest time. And then it occurred to me, if you title a video Deconstructing Lottery Tickets and you put a bunch of math on the thumbnail. People are going to click and then be very, very, very disappointed when you don't tell them how to win the lottery. And that takes them about one to two minutes to notice like, oh crap, I can't make any money using this video. So if you go to the general analytics tabs, it's very interesting to see what people like. You see the last 28 days I've uploaded every single day, except here. This is a bit of a gap. I have accidentally deleted the back prop in the brain video and had to re-upload it the next day. So if you look at the last year, the views have gone up substantially. The subscribers have gone up, but there are subscriber spikes right here. And these spikes are usually sometimes when some large personality recommends this channel. The channel gains a bunch of subscribers that doesn't necessarily translate into more views. It's just people that click on subscribe and then never care anymore. The metric that's most interesting to me personally is watch time. And as you can see here, watch time has gone substantially up in the last month, which I find to be encouraging. One minute of watch time means that I get to transmit one minute of information to the viewer. And that's what really matters to me. Of course, if I'm doing a worse job at explaining, then the viewer has to watch for longer. But that usually doesn't really work out because they're just going to click away. All right, to the fun part, the audience. Who are you? Now, as you can see here, 69% of you are not subscribed. What are you doing not being subscribed? Though this has changed in the last month significantly. I believe now it's about half and half. What I find most interesting, though, is that 10% of you have this bell notification on. So 10% of you actively want to be disturbed whenever I upload a video. I am incredibly flattered by this. This is the biggest compliment. Not even I do this for the channels that I follow. Demographics also very fun. About 93% of you tend to be male and about 6% of you tend to be female, at least according to YouTube statistics. And that's a pretty good intersection of YouTube being mostly male and machine learning field also being mostly male. If I'm doing anything to attract any particular type of person, please let me know so I can diversify a bit. Everyone's welcome here. You tend to be above 18, which is good because we have very, very much adult content on this channel. I'm happy to see that none of you is underage. I think that's YouTube just not reporting underage statistics. But most of you tend to be 18 to 45 years old, though to the older viewers, you're of course also very welcome. Though I'm pretty sure that some of these is just because you were underage when you created your account and you just told them you were born in 1923. So most of you tend to come from the United States or India or Germany. This is very incomplete list. I think the most people simply are in the other category of countries, which I think means YouTube just doesn't know. But it is cool to see that India is so high up. One of the reasons I started this channel. So the main reason is because it forces myself to read papers more thoroughly if I have to explain them. One other main reason I started this channel was because I thought I thought there was a gap between what you could get from a beginner's course, any sort of Coursera course and where research is right now. And to bridge that gap, you basically have to go to a very good university. And I know that most of the world doesn't have access to these very good universities. So my idea was to kind of bridge that gap to make that person that has a basic understanding of machine learning be able to be up to speed with current research, to be able to read current research papers. And the fact that I have quite a number of people watching from countries where top universities maybe aren't located is very encouraging to me. Thanks for watching from all around the world. One person is watching this with Russian subtitles. Okay, we can go into the advanced statistics here. And that is pretty interesting as well. You see here most videos kind of spike when they come out, especially the news videos. They tend to be very popular. Just the moment that I release them and then they sort of fall down. Traffic source I find particularly interesting. If you look at the last 90 days, there are these spikes and these spikes tend to come mainly from from Google searches. So at some point, people simply Google search for stuff and then they find this channel, which is encouraging. Most people actually search for attention is all you need or things like this. YouTube doesn't show you anymore what people searched on Google, but YouTube shows you what people searched for on YouTube. And that tends to be mostly attention is all you need. You zero my name. Hello. So if you correlate these spikes in searches with geography, some of these spikes tend to be worldwide like this one here or this one here. But this particular spike is only United States. And if you look at the videos that I released during that time period, one of these videos right here. So either it is the Schmidhuber drama, a lot of people searching for that. Maybe maybe it's ImageNet V2 or the online conferences. I don't know. You can see right here, I didn't make many subscribers of of these spikes. It's simply people being interested in content, which is pretty cool. It is also interesting to see that these spikes right here, they correspond mainly to mobile phone users. So mobile phone users go in Google searching for content on this channel. I have no idea what's going on. All right. Now, the last question to solve is, of course, monetization. How much money does this channel make? And the answer is none so far. So there are multiple reasons why I haven't applied for monetization yet. I find YouTube ads just incredibly annoying, especially now that they've decided to stick two ads in front of videos. I just don't want to bug users with that. If you look at what I gain from it, it's not that much. Any money that I would make, I would like to sort of reinvest into the channel. And right now, I just don't have any requirements. That might change in the future, maybe once we get to 800,000 subscribers. All right. That was it for YouTube analytics of this channel. I hope you are still enjoying this content. If you're not subscribed, please do. Next update will be at a hundred thousand. And I hope that everything is as enjoyable as ever. Thank you for watching. Thank you for subscribing. Thanks for being here and to the future.
 Hi there! We have just crossed 10,000 subscribers on this channel and that is an absolutely mind-blowing number.
 To everyone who's subscribed, thank you! And today, for a bit of a special occasion, I thought we would look at you.
 Yes, you handsome! One of the 10,000 subscribers of this channel.
 And we're going to dive into the YouTube analytics and see who you are and what you like and how you behave.
 So if you've never done YouTube as a creator, this is what it looks like.
 You can see right here, there are 10,071 subscribers right now.
 And if you look at the videos, Attention Is All You Need is the most popular video on this channel.
 It is also one of the oldest videos on this channel.
 Probably it's in many university curricula now and there's like half a lecture allocated to it.
 And that is not enough to understand this paper. So people come to this channel.
 I was still using kind of Adobe Reader at the time and etching in sort of...
 There's only one color, it's super laggy, but for some reason people like it and I'm not going to debate with people about what they like and what they don't.
 I might do another one on Attention Is All You Need just because I understand Transformers much better nowadays and I think I could do a better job at explaining them more clearly.
 So a lot of the NLP models tend to do very well as videos because I think people are interested and practitioners are interested and they just want to learn about these models and what they're doing.
 Also, there's Siraj controversy, very popular. It was a fun event and a sad event.
 This video right here, Deconstructing Lottery Tickets.
 It just outperforms all the other videos, absolutely mind blowingly rockets over everything.
 But if you look at the retention, I only retain people for two minutes on average, which is the retention is the lowest of any of my videos.
 And I could not understand this for the longest time. And then it occurred to me, if you title a video Deconstructing Lottery Tickets and you put a bunch of math on the thumbnail.
 People are going to click and then be very, very, very disappointed when you don't tell them how to win the lottery.
 And that takes them about one to two minutes to notice like, oh crap, I can't make any money using this video.
 So if you go to the general analytics tabs, it's very interesting to see what people like.
 You see the last 28 days I've uploaded every single day, except here.
 This is a bit of a gap. I have accidentally deleted the back prop in the brain video and had to re-upload it the next day.
 So if you look at the last year, the views have gone up substantially.
 The subscribers have gone up, but there are subscriber spikes right here.
 And these spikes are usually sometimes when some large personality recommends this channel.
 The channel gains a bunch of subscribers that doesn't necessarily translate into more views.
 It's just people that click on subscribe and then never care anymore.
 The metric that's most interesting to me personally is watch time.
 And as you can see here, watch time has gone substantially up in the last month, which I find to be encouraging.
 One minute of watch time means that I get to transmit one minute of information to the viewer.
 And that's what really matters to me.
 Of course, if I'm doing a worse job at explaining, then the viewer has to watch for longer.
 But that usually doesn't really work out because they're just going to click away.
 All right, to the fun part, the audience.
 Who are you?
 Now, as you can see here, 69% of you are not subscribed.
 What are you doing not being subscribed?
 Though this has changed in the last month significantly.
 I believe now it's about half and half.
 What I find most interesting, though, is that 10% of you have this bell notification on.
 So 10% of you actively want to be disturbed whenever I upload a video.
 I am incredibly flattered by this.
 This is the biggest compliment.
 Not even I do this for the channels that I follow.
 Demographics also very fun.
 About 93% of you tend to be male and about 6% of you tend to be female, at least according to YouTube statistics.
 And that's a pretty good intersection of YouTube being mostly male and machine learning field also being mostly male.
 If I'm doing anything to attract any particular type of person, please let me know so I can diversify a bit.
 Everyone's welcome here.
 You tend to be above 18, which is good because we have very, very much adult content on this channel.
 I'm happy to see that none of you is underage.
 I think that's YouTube just not reporting underage statistics.
 But most of you tend to be 18 to 45 years old, though to the older viewers, you're of course also very welcome.
 Though I'm pretty sure that some of these is just because you were underage when you created your account and you just told them you were born in 1923.
 So most of you tend to come from the United States or India or Germany.
 This is very incomplete list.
 I think the most people simply are in the other category of countries, which I think means YouTube just doesn't know.
 But it is cool to see that India is so high up.
 One of the reasons I started this channel.
 So the main reason is because it forces myself to read papers more thoroughly if I have to explain them.
 One other main reason I started this channel was because I thought I thought there was a gap between what you could get from a beginner's course,
 any sort of Coursera course and where research is right now.
 And to bridge that gap, you basically have to go to a very good university.
 And I know that most of the world doesn't have access to these very good universities.
 So my idea was to kind of bridge that gap to make that person that has a basic understanding of machine learning be able to be up to speed with current research,
 to be able to read current research papers.
 And the fact that I have quite a number of people watching from countries where top universities maybe aren't located is very encouraging to me.
 Thanks for watching from all around the world.
 One person is watching this with Russian subtitles.
 Okay, we can go into the advanced statistics here.
 And that is pretty interesting as well.
 You see here most videos kind of spike when they come out, especially the news videos.
 They tend to be very popular.
 Just the moment that I release them and then they sort of fall down.
 Traffic source I find particularly interesting.
 If you look at the last 90 days, there are these spikes and these spikes tend to come mainly from from Google searches.
 So at some point, people simply Google search for stuff and then they find this channel, which is encouraging.
 Most people actually search for attention is all you need or things like this.
 YouTube doesn't show you anymore what people searched on Google, but YouTube shows you what people searched for on YouTube.
 And that tends to be mostly attention is all you need.
 You zero my name.
 Hello.
 So if you correlate these spikes in searches with geography, some of these spikes tend to be worldwide like this one here or this one here.
 But this particular spike is only United States.
 And if you look at the videos that I released during that time period, one of these videos right here.
 So either it is the Schmidhuber drama, a lot of people searching for that.
 Maybe maybe it's ImageNet V2 or the online conferences.
 I don't know. You can see right here, I didn't make many subscribers of of these spikes.
 It's simply people being interested in content, which is pretty cool.
 It is also interesting to see that these spikes right here, they correspond mainly to mobile phone users.
 So mobile phone users go in Google searching for content on this channel.
 I have no idea what's going on.
 All right. Now, the last question to solve is, of course, monetization.
 How much money does this channel make?
 And the answer is none so far.
 So there are multiple reasons why I haven't applied for monetization yet.
 I find YouTube ads just incredibly annoying, especially now that they've decided to stick two ads in front of videos.
 I just don't want to bug users with that.
 If you look at what I gain from it, it's not that much.
 Any money that I would make, I would like to sort of reinvest into the channel.
 And right now, I just don't have any requirements.
 That might change in the future, maybe once we get to 800,000 subscribers.
 All right. That was it for YouTube analytics of this channel.
 I hope you are still enjoying this content.
 If you're not subscribed, please do.
 Next update will be at a hundred thousand.
 And I hope that everything is as enjoyable as ever.
 Thank you for watching. Thank you for subscribing.
 Thanks for being here and to the future.