Mans explaining with 3 markers and a chopstick and its clearer than any professor could explain with slides and computers and simulations Youre an amazing teacher Thank you so much
i dont mean to be off topic but does any of you know of a trick to get back into an Instagram account..? I was stupid lost my login password. I love any tricks you can give me.
@Stephen Kelvin i really appreciate your reply. I got to the site through google and Im trying it out now. Seems to take a while so I will reply here later when my account password hopefully is recovered.
I confess, I didn't understand any single word of explanations from my MIT professor about perceptron. How ever, after I saw this video and understood clearly what the idea is. Thanks.
You're really a talented teacher! I love the way you walk us through such abstract concepts. I was struggling with my HW for a whole day until I saw your videos. Keep producing more brilliant content! Subscribed!
I’ve been trying to understand perceptron for a couple days now. Nothing really clicked until this video. 10/10 explanation, you are better than majority of the professors and teachers out there.
Same ! Been trying for 2 days and most videos don't provide a detailed mathematical explanation and just throw the formulas at you. This is by far the best explanation of a Perceptron on TH-cam.
Great video, you pretty much have explained the whole perceptron problem in 15 minutes while I was trying to figure it out after taking 4 hours of uni classes.
This is amazing, I've been scratching my head with lecture videos and notes.. going nuts.. but this explanation is simply super... I have been looking for this to get the concept and fundamentals. Love it. Please keep posting more and more..
You either are simply lying or you are massively overestimating what you are able to do after watching this video. In University you learn this concepts in a formal, rigorous way. You learn the proofs, definitions, etc. Pretending this is in anyway a substitute for any university lesson is just plain dumb. It's a complement, for sure.
@@samuelwittlinger7790 I am a maths graduate student. Saying you don't learn intuition in university is just insane to me. Whenever you learn a topic, you always start with the geometric explanations, whenever possible. You learn the intuitive way, and you learn that the intuitive way is not enough to make a general statement, which is why you need the rigorous proofs.
All I have to say is a huge THANKS. I was getting mad because I thought that the weights vector was sized n x 1. And most importantly I didn't get that it would consider only the misclassified points. Now it really makes sense.
Took me a while to understand which greek letter "nu" is. It's the greek letter "eta". You may see in some programs that the learning rate is called eta instead.
Thanks for the video. Two remarks: 1. It is not clear if the algorithm converges to a solution. 2. mistake at 10:15-10:34: the new line found by the algorithm does not pass throughout the origin...
Hi, amazing video! Quick question: Is the learning rate represented by the Greek letter "eta" or "nu"? Because your drawing ressembles "eta", and you wrote "nu" beside it. Thanks
Need teachers like this guy teaching like we're all bloody five instead of my lecturer who decides to fill the first half of the powerpoint slides with biological neuronal networks ffs
Really excellent video. Especially the tip on the last section re: data that has a circular / polar coordinate separation. (Not sure what the technical term for that would be) Thanks for the video!
Bro is out there with a couple of markers, a piece of paper, using a disposable chopstick as a ruler and explains this better than entire universities 😭😭😭
Excellent video! But could somebody help me with my questions please? 1. At 5:32, how did you know the equation is bigger than zero since x1 and x2 are unknown values? 2. If let's say we have instead of 1, we have 2 misclassified points. So shall we calculate two w prime? If so, how do we use the two different w prime to get the hyperplane?
Mans explaining with 3 markers and a chopstick and its clearer than any professor could explain with slides and computers and simulations
Youre an amazing teacher
Thank you so much
ikr this guy is too good 😭😭 Universities hate him 😭😭😭
Really true gentleman
Quit reading the comments, boys, because this video will be all you need if you just focus on it. Great explanation!
I m a grl
@@saisrisai9649 😂 nice
i dont mean to be off topic but does any of you know of a trick to get back into an Instagram account..?
I was stupid lost my login password. I love any tricks you can give me.
@Wyatt Axton instablaster =)
@Stephen Kelvin i really appreciate your reply. I got to the site through google and Im trying it out now.
Seems to take a while so I will reply here later when my account password hopefully is recovered.
Incredible how an explanation with a piece of paper can be more effective than any other digital methods. Thanks
Glad it was helpful!
I confess, I didn't understand any single word of explanations from my MIT professor about perceptron. How ever, after I saw this video and understood clearly what the idea is.
Thanks.
How are you at MIT, I cannot even find a way so sign up on the website.
@@sesmuel2593 you gotta use the Perceptron to get in
You're really a talented teacher! I love the way you walk us through such abstract concepts. I was struggling with my HW for a whole day until I saw your videos. Keep producing more brilliant content! Subscribed!
I’ve been trying to understand perceptron for a couple days now. Nothing really clicked until this video. 10/10 explanation, you are better than majority of the professors and teachers out there.
Same ! Been trying for 2 days and most videos don't provide a detailed mathematical explanation and just throw the formulas at you. This is by far the best explanation of a Perceptron on TH-cam.
the only perceptron video I needed, btw I have exams tomorrow
The same here 😂😂
Me too lmao
@@skyboat345 all the best 😊
@@alapparate8768 Haha thanks man!
And how it went? :D
Amazing clear, and concise explanation! Thank you so much, I'm trying to program a perceptron neural network in Go and this really helps
Isnt it gradient descent?
07:29 By far the best use of a disposable chopstick in a ML video. Well done!
chopstick Meta
First time watching something from the author.
This is a fabulous explanation, thank you.
Great video, you pretty much have explained the whole perceptron problem in 15 minutes while I was trying to figure it out after taking 4 hours of uni classes.
This video just solved one assignment I had from university. Good explanation, thanks
This is amazing, I've been scratching my head with lecture videos and notes.. going nuts.. but this explanation is simply super... I have been looking for this to get the concept and fundamentals. Love it. Please keep posting more and more..
wow great video! Way easier than how my professor explains it! My prof uses terminologies, which he doesn't explain, and it gets confusing at times.
Glad it helped!
i wish my professor could explain this. idk what she does wasting hours of our time every Tuesday. i leave knowing less than this 13 minute video
EXACTLY
You either are simply lying or you are massively overestimating what you are able to do after watching this video. In University you learn this concepts in a formal, rigorous way. You learn the proofs, definitions, etc.
Pretending this is in anyway a substitute for any university lesson is just plain dumb.
It's a complement, for sure.
@@Canonall you have to know the intuition before really understanding things, which is something that most universities skip over.
@@samuelwittlinger7790 I am a maths graduate student. Saying you don't learn intuition in university is just insane to me. Whenever you learn a topic, you always start with the geometric explanations, whenever possible. You learn the intuitive way, and you learn that the intuitive way is not enough to make a general statement, which is why you need the rigorous proofs.
Wow...never had anybody explain things so clear...just loved and learnt a lot about perceptron!! Thank you!!
such a clear explanation! you're a natural at teaching and machine learning. thanks so much
You're very welcome!
Thank you for the video! It is well explained. Some lecturers just have a passion for making easy things difficult.
You are welcome!
Bro in 13 minutes made me understand perceptron algorithm better then my teacher with 2 phds in maching learning and computer science
8:49 how do you define upper and lower? If the line is mirrored, is the upper region still the 'right' side of the line, or the 'left' side
i literally knew next to nothing about ai learning and you tought it in 10 minutes. congrats to you.
Just amazing. Please keep up the good work, it is this kind of clarity that makes people like topics like this.
REALLY GOOD VIDEO. Thank you so much, why can't our teachers at university explain like this.
Thank you for taking the time to make these videos and share your knowledge, your other videos deserve more views.
Thank you man , my machine learning class is a mess .
All I have to say is a huge THANKS. I was getting mad because I thought that the weights vector was sized n x 1.
And most importantly I didn't get that it would consider only the misclassified points.
Now it really makes sense.
Very good video. The learning rate is the greek letter "eta", the letter "nu" looks more like a v.
Excellent video, clear. Props to the use of a chopstick and the little treat at the end also.
Really good video!
Is no one going to to talk about how he drew a line twice with a marker using a stick, and yet was perfectly spot on??
This is one of the best best best channel for learning ML
Thanks!
Great video! The only thing I would add is that the activation function is the step function which is the d in the video.
At 2:37, it is 'eeta'. Great explanation overall!
Very useful for my exams..... Thanks a lot sir
Exactly what I was looking for!! Explained shortly and precisely.
one of the best ml video
Took me a while to understand which greek letter "nu" is. It's the greek letter "eta". You may see in some programs that the learning rate is called eta instead.
random guy with a chopstick and marker better than most professors at my uni
Crisp n clear explanation, thanks for the extension part, really needed to know that!
bro its crazy how ive been learning this in class for the last 2 weeks and I didn't understood them until now
Well explained and love the usage of chopstick as a ruler.
Still my favorite math/stats channel
Thank you!
Thanks for the video.
Two remarks:
1. It is not clear if the algorithm converges to a solution.
2. mistake at 10:15-10:34: the new line found by the algorithm does not pass throughout the origin...
most aesthetic handwriting i've ever seen
This ten minutes video way much better than the legacy slides in my class 🎉 otherwise i wouldn't fail the exam 😅
Glad it helped!
Really great explanation! Loved it!😍
best and most simple explanation ever. thanks so much
This is the best video ive seen on this topic. Thanks!
this kind of voice is how I know its gonna be a good one
Excellent job. Super clear on how it works!
at 6:15, from where this equation derived X2 > -2X1
it's clearly wrong and should be x2 > -1/5 x1
X1+0.5(X2)>0
0.5(X2) > -X1
X2> -2(X1)
You should re do your elementary schooling.
@@satyapratik dude the 0.5 in the video looks like a 5
@@rackzz7084 ikr
You're correct his answer is wrong,After a Dot Product the answer is :X1+0.5X2
Hi, amazing video! Quick question: Is the learning rate represented by the Greek letter "eta" or "nu"? Because your drawing ressembles "eta", and you wrote "nu" beside it. Thanks
i think he meant to say 'eta' because the learning rate is either represented by eta η or by alpha α. Nu (ν) is a different letter altogether
Need teachers like this guy teaching like we're all bloody five instead of my lecturer who decides to fill the first half of the powerpoint slides with biological neuronal networks ffs
Great explanation on the good old paper. Thank you!
explainable and helpful, easy understanding! THanks a lot!!
Glad it was helpful!
converting data to polar coordinates is just beautiful
you are so amazing you are reading 3 years into the future
Not the hero we deserved, but the hero we needed
8:47 but what about when you have more than 1 moitake and some should be in the upper and some in the lower?
Really excellent video. Especially the tip on the last section re: data that has a circular / polar coordinate separation. (Not sure what the technical term for that would be)
Thanks for the video!
My dream teacher! thank you
Any time!
Thank you for your time and efforts, clearly described everything
thank you for explaining it so well.
Glad it was helpful!
Great video straight to the point thanks
Amazing video, very clear and insightful video. Thanks!
Cool! Thank you! ❤
Really nice explanation. You are an awesome teacher!
clear and super intuitive illustrations !
Just wanted to say thank you! Great video.
Thank you!
thank you! Well explained. A small question about the symbol of learning rate. Is it called 'Eta'? 'Nu' is the v shape one?
yup you're right, I clearly need to brush up on my Greek alphabet
excellent explanation Sir.
Bro is out there with a couple of markers, a piece of paper, using a disposable chopstick as a ruler and explains this better than entire universities 😭😭😭
It helped me my friend, really appreciate that. :)
This is a great video, thank you so much for sharing your knowledge.
This is exceptionally well done.
Thank you for the great explanation.
This helped a lot. Thank you!
very clear and understandable
Ritvik, I saw the thumbnail and title and thought I was heading into a Bill Wurtz video 😂
Thank you, very clear and helpful!
You are welcome!
Super helpful explanation. Thank you! Is the updating the same as back propagation, or is that only with multiple layers?
1 million thanks
Excellent video again 🎉
Simple and clear. Loved it...
Wonderful introduction. Thanks.
Great video! Small correction, η (the learning rate) is the letter "eta", not "nu"
fantastic explanation, thank you
Excellent video! Thank you
Very good video,thank u very much!
this is a great conceptual explanation
something about the chopstick makes me understand your explanation better
Awesome explanation, thanks!
excellent video! thank you
Thank you sir!
You are welcome!
goated. thanks for making this so clear!
Excellent video! But could somebody help me with my questions please?
1. At 5:32, how did you know the equation is bigger than zero since x1 and x2 are unknown values?
2. If let's say we have instead of 1, we have 2 misclassified points. So shall we calculate two w prime? If so, how do we use the two different w prime to get the hyperplane?
bro didn't even have a ruler and had to use a chopstick.
In all seriousness great video
Thanks 😅
5:50 how's that x2 > - 2x1? Shouldn't it be -1/5x1 on the rhs?
Thank you so much! Such a great explanation!
Nice explanations!