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

Quit reading the comments, boys, because this video will be all you need if you just focus on it. Great explanation!

@saisrisai9649

3 жыл бұрын

I m a grl

@gouthamks1274

3 жыл бұрын

@@saisrisai9649 😂 nice

@wyattaxton4085

2 жыл бұрын

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.

@stephenkelvin1220

2 жыл бұрын

@Wyatt Axton instablaster =)

@wyattaxton4085

2 жыл бұрын

@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

@ritvikmath

3 жыл бұрын

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.

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

@Randomkitten7

3 жыл бұрын

EXACTLY

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!

the only perceptron video I needed, btw I have exams tomorrow

@alimensah1153

4 жыл бұрын

The same here 😂😂

@skyboat345

4 жыл бұрын

Me too lmao

@alapparate8768

4 жыл бұрын

@@skyboat345 all the best 😊

@skyboat345

4 жыл бұрын

@@alapparate8768 Haha thanks man!

@Kosmaty205

4 жыл бұрын

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

@ticoticox3000

4 жыл бұрын

Isnt it gradient descent?

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.

@Amar-hl6pu

Жыл бұрын

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 KZread.

07:29 By far the best use of a disposable chopstick in a ML video. Well done!

@senzmaki4890

Жыл бұрын

chopstick Meta

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.

Wow...never had anybody explain things so clear...just loved and learnt a lot about perceptron!! Thank you!!

Just amazing. Please keep up the good work, it is this kind of clarity that makes people like topics like this.

Thank you for taking the time to make these videos and share your knowledge, your other videos deserve more views.

such a clear explanation! you're a natural at teaching and machine learning. thanks so much

@ritvikmath

3 жыл бұрын

You're very welcome!

Exactly what I was looking for!! Explained shortly and precisely.

This video just solved one assignment I had from university. Good explanation, thanks

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.

@ritvikmath

3 жыл бұрын

Glad it helped!

Excellent job. Super clear on how it works!

Thank you for your time and efforts, clearly described everything

Crisp n clear explanation, thanks for the extension part, really needed to know that!

Excellent video, clear. Props to the use of a chopstick and the little treat at the end also.

Amazing video, very clear and insightful video. Thanks!

Thank you for the video! It is well explained. Some lecturers just have a passion for making easy things difficult.

@ritvikmath

3 жыл бұрын

You are welcome!

best and most simple explanation ever. thanks so much

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

This is the best video ive seen on this topic. Thanks!

Great explanation on the good old paper. Thank you!

Really nice explanation. You are an awesome teacher!

Thank you man , my machine learning class is a mess .

Very useful for my exams..... Thanks a lot sir

This is exceptionally well done.

clear and super intuitive illustrations !

It helped me my friend, really appreciate that. :)

i literally knew next to nothing about ai learning and you tought it in 10 minutes. congrats to you.

This is one of the best best best channel for learning ML

@ritvikmath

Жыл бұрын

Thanks!

This is a great video, thank you so much for sharing your knowledge.

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??

Simple and clear. Loved it...

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.

most aesthetic handwriting i've ever seen

Great video straight to the point thanks

REALLY GOOD VIDEO. Thank you so much, why can't our teachers at university explain like this.

this is a great conceptual explanation

random guy with a chopstick and marker better than most professors at my uni

Love your content🤗

Thank you so much! Such a great explanation!

Excellent video again 🎉

explainable and helpful, easy understanding! THanks a lot!!

@ritvikmath

3 жыл бұрын

Glad it was helpful!

Still my favorite math/stats channel

@ritvikmath

4 жыл бұрын

Thank you!

10/10 video, thank you!

goated. thanks for making this so clear!

Wonderful introduction. Thanks.

Ok. This video is super useful super simple and super understandable :) Thanks!!!

This was really useful. Thank you!

fantastic explanation, thank you

Awsome explanation!!

Excellent video! Thank you

Thanks, i haven't seen this one before. If there are multiple lines that will separate the classes, is the line selected by perceptron optimal in anyway, or does it simply stop when any viable solution is found? If there is overlap between the classes, will this still work? Assuming there is no one line that separates the classes with 100% accuracy, will iterating get you a "better" solution?

Great video! The only thing I would add is that the activation function is the step function which is the d in the video.

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 in 13 minutes made me understand perceptron algorithm better then my teacher with 2 phds in maching learning and computer science

Very good video,thank u very much!

This helped a lot. Thank you!

Just wanted to say thank you! Great video.

@ritvikmath

3 жыл бұрын

Thank you!

Thank you, very clear and helpful!

@ritvikmath

2 ай бұрын

You are welcome!

Thank you so very much!

Thank you for the great explanation.

thank you for explaining it so well.

@ritvikmath

3 жыл бұрын

Glad it was helpful!

Awesome explanation, thanks!

this kind of voice is how I know its gonna be a good one

thank you! Well explained. A small question about the symbol of learning rate. Is it called 'Eta'? 'Nu' is the v shape one?

@ritvikmath

3 жыл бұрын

yup you're right, I clearly need to brush up on my Greek alphabet

tank's a lot for the video !!

awesome explanation

Thank you so much, that was very useful

excellent explanation Sir.

Nice explanations!

Super helpful explanation. Thank you! Is the updating the same as back propagation, or is that only with multiple layers?

Great video! I'd like to know how the addition of another element to the number of dimensions, gives us a constant number? How does just the no. of Dimensions refuse to provide a constant number?

Awesome brother

Thank you! This is great!

Cool! Thank you! ❤

bro its crazy how ive been learning this in class for the last 2 weeks and I didn't understood them until now

great video. thanks !

My dream teacher! thank you

@ritvikmath

3 жыл бұрын

Any time!

so clear useful thank you

Not the hero we deserved, but the hero we needed

you are so amazing you are reading 3 years into the future

This ten minutes video way much better than the legacy slides in my class 🎉 otherwise i wouldn't fail the exam 😅

@ritvikmath

3 ай бұрын

Glad it helped!

1 million thanks

Well explained and love the usage of chopstick as a ruler.

Amazing!

By the way, this is a great video at 9:30 from which criteria you have put 0.2. and why I can use any value?

converting data to polar coordinates is just beautiful

This is great!

This was so clear nice

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 a ton brotha

Thanks a a bunch

Thank you sir!

@ritvikmath

3 жыл бұрын

You are welcome!