Most educational videos give viewers the impression that they are learning something, while in reality, they cannot reliably explain any of the important points of the video later, so they haven't really learned anything. But your videos give me the impression that I haven't learned anything, because all the points you make are sort of obvious in isolation, while in reality, after watching them I find myself much better able to explain some of the concepts in simple, accurate terms. I hope more channels follow this pattern of excellent conceptual learning.

@3blue1brown

6 жыл бұрын

Huh, I never thought about it this way, but that's a nice way to phrase what I'm shooting for.

@user-ol2gx6of4g

6 жыл бұрын

Being able to explain it at a conceptual level isn't good enough. You can only understand it by practicing (i.e., build neural nets by yourself and play with it)

@3blue1brown

6 жыл бұрын

busi magen, I don't have a story nearly as touching as that of you and your Grandmother, but I think I would cite my dad as teaching this by example when I was growing up, in that the way that he would describe things centered on what they're actually doing in simple terms, rather than on learning the appropriate jargon.

@davidgiles9378

6 жыл бұрын

:-D . Eebsterthegreat: not so obvious insightful complement in reality, as long as you don't read the "I haven't learned anything" part in isolation.

@user-ol2gx6of4g

6 жыл бұрын

Particle accelerator is used for creating/verifying hypothesis. Your analogy is terrible. Regarding learning a new skill, one needs to practice rather than just passively absorb information. This is why homework exists. Regarding neural nets, anyone think they can "explain" NN after watching this video is frankly laughable. (not saying the content of this video is bad)

I study mathematics, physics and architecture. By definition this man is an ORACLE in the strict meaning of the word. With all honesty I never imagined someone explaining complex topics with the dexterity this man has. He is literally an institution and an outstanding teacher. The computer graphics and the illustrations are simply perplexing. This guy never evades complexity. He never evades complex arguments. He illustrate the complexity and dive into the exhaustive explanation of the details. It's extremely rare to see a professor and a dedicated user to put a lot of effort explaining, animating and describing mathematics the way he does.

@Aj-ch5kz

5 жыл бұрын

Well said sir. 🙌

@viharcontractor1679

5 жыл бұрын

@@suwarnachoudhary8591 This video never claimed to be an expert level tutorial so stop comparing it to those type of tutorials.

@suwarnachoudhary8591

5 жыл бұрын

@@viharcontractor1679 When did I say that? Please read my comment again. I have no issues with the tutorial, I have objection on the comment to which I have replied. One should always make an appropriate comments. As it is incorrect to say something rude, it is always wrong to do false praising. Have you read the comment? of kummer45? Calling the tutor of the video as " Oracle"? Really? This kind of words should be used for someone like Swami Vivekanda and not for some ordinary tutorial. It almost hurts to see such misuse of words.

@JCake

5 жыл бұрын

@@suwarnachoudhary8591 Come on man, what is wrong with / about that comment? The video is fantastic in every way, It is dense enough that I've had to watch it several times over, yet is able to communicate the concept of a neural network in such a way that even my pea brain can grasp this topic, please think before commenting and make a proper comparison.

@suwarnachoudhary8591

5 жыл бұрын

@@JCake First of all, don't use the word 'man' , I am a girl. I never said video is bad.It is fine. Why everyone is coming over here and defending the video? Is is so difficult to understand what I am saying? The comment from kummer 45 is an exaggeration and I stick to it because it is. If the video is good enough , one does not need to watch it second time to understand the concept. I had seen one video by Mathew Renze on the same topic. That long tutorial, was first time I came across neural network. It was more that 1.30 hours of series of videos. I never watched it again and still remember every single concept. Now if this man is oracle what you will call him?

No man, we don't get notifications for your videos. We search for 3b1b. That's how powerful your content is.

@FlyingSavannahs

Жыл бұрын

I don't understand notifications either. What, we're supposed to do things other than watch all the remaining 3b1b videos we haven't yet seen between notifications? Who would be so wasteful with their lives???

@bruhngl

Жыл бұрын

I just type questions into KZread and always seem to get his videos as answers

@cvspvr

2 ай бұрын

​@@FlyingSavannahsusually you'd enable notifications only for youtubers who make videos that you're almost always interested in

Your videos are singlehandedly keeping my PhD research on track. Thank you for your time and effort!

@randomguy4738

4 ай бұрын

This is what you're studying for your PhD? This is what I learned in highschool...

@blueberried9329

4 ай бұрын

Which class exactly did you learn about neural networks? Did you also learn multi-variable calculus (fundamental to even the simplest neural network) in your high school class? I would love to attend!@@randomguy4738

@P_Stark_3786

4 ай бұрын

​@@randomguy4738 learning is not about phd or high school it's about need Whenever you need you learn

@user-py3py5sx2f

4 ай бұрын

​@@P_Stark_3786obviously there's a reason they are separated, you won't be awarded a PhD if what you "need" to learn isn't at PhD level

@muhammadhidayat1337

3 ай бұрын

@@randomguy4738 What you learn, what he study are on the different level. Just shut your mouth son

Quote: “Any fool can make something complicated. It takes a genius to make it simple.”…..nailed.

@hexa3389

4 жыл бұрын

"What one fool can do, another can" Some guy who wrote a really popular calc textbook

@genericperson8238

4 жыл бұрын

It's a statement I don't agree with. At university, we are taught things in a formal and abstract way, not just for the sake of overcomplicating things. I don't think professors, which are primarily researchers should be considered "fools" because they fail to teach their subject in a more intuitive manner.

@Solaris428

4 жыл бұрын

@@genericperson8238 a good researcher is not necessarily a good teacher.

@Dongdot123

4 жыл бұрын

@@genericperson8238 Yes, they're a fool in pedagogy

@Solo-vh9fm

3 жыл бұрын

A genius doesn’t really make it simply more they make it concise.

I'm currently taking a computer science math course where the professor strongly advised everyone to watch this exact video series to get an intuition about what all the math is actually used for.

@vgdevi5167

Жыл бұрын

Bro, which college you studying in now?

@benjaminmllerjensen8705

Жыл бұрын

@@vgdevi5167 Aarhus University, Denmark

@benjaminmllerjensen8705

Жыл бұрын

@@vgdevi5167 1st semester :)

@Nalianna

Жыл бұрын

Good to learn from, and also, entertaining to watch. double win.

@snow3570

Жыл бұрын

Linear Algebra? That’s what I’m following in about 6 weeks, which is basically the math behind Neural Networks

I am blown away by the visual clarity of this description of otherwise a complex technology! More please, I am willing to pay!

@amitjose3739

11 ай бұрын

thanks fellow indian bro.

@andrewl2787

10 ай бұрын

= 2 USD😂😂😂😂😂😂😂😂😂😂😂😂

@Dtomper

10 ай бұрын

@@andrewl2787 Don't be rude bro, appreciate his good intention, 2$ might mean a lot from where he's from.

@HAL9000.

10 ай бұрын

@@Dtomper Well said. Peace and love worldwide.

@shivshankarpe

10 ай бұрын

@@andrewl2787 Okay so how much did you pay? I will match you, common now

I can't wait for neural networking to be able to recognize my doctor's prescription.

@tinysim

4 жыл бұрын

They need to study pharmacists to figure that out.

@pimp2570

4 жыл бұрын

That would be magnificent!

@user-qh2vq6md2g

4 жыл бұрын

from what i understand (i am also an dummy i just tell you what i think) the inputs are the pixels the weights are the pixels 's whiteness or blackness it is like lets say we need first pixel to be white so we need the computer to know there is a pixel there (hence it's an input) we need the computer to change how white or black it is (hence the computer's ability to change weights)

@jonavuka

4 жыл бұрын

its actually impossible, that level of calligraphy is indecipherable

@luisendymion9080

4 жыл бұрын

Doctors writing make Strings Theory a piece of cake for humans, AIs and aliens.

In schools everyone taught us to practice maths but this man teaches us to imagine maths

@joukrae593

4 жыл бұрын

True🔥🔥

@taliesinmusic

4 жыл бұрын

best comment here, period!

@ajvlogs2277

4 жыл бұрын

Juju

@shawnjames3242

3 жыл бұрын

Did you mean 'visualize' maths

@leandrog2785

3 жыл бұрын

They don't teach you maths, they teach you how to solve exam questions. Maths is what 3Blue1Brown teaches.

Brilliantly explained

@uncommonsense9973

Жыл бұрын

I had learned about neural networks and knew the mechanics of it. But this is way better explained - you nailed it - brilliantly.

@randompersondfgb

Жыл бұрын

@@uncommonsense9973 Sorry to disappoint you but the commentor isn't the creator of the video lol

@wnyduchess

Жыл бұрын

@@randompersondfgb he was agreeing with the commenter bro

@randompersondfgb

Жыл бұрын

@@wnyduchess To quote the reply itself; “this is way better explained - *you* nailed it - brilliantly”

@wnyduchess

Жыл бұрын

@@randompersondfgb yes, you're not understanding. Uncommon Sense is saying "you" nailed it. The you is Cliff Rosen, the original commenter. He's saying that Cliff Rosen nailed it when he wrote the comment "Brilliantly explained".

AI, neural networks, machine learning... these things are going to be a HUGE part of our future.

It takes 3000-4000 lines of code to make those graphics possible, he's a freakin legend

@omarz5009

3 жыл бұрын

Which is best for neuron? python or c++

@jagaya3662

3 жыл бұрын

@@omarz5009 The main downside of python is the fact it's a high-level language and hence kinda slow. But for ML and NN it has several powerful libraries (pandas, numpy, tensorflow) which make up for that. Given Python supports the implementation of C-Code, those libraries could be optimized like heck to the point bothering with the stuff in C++ is just wasted time. Plus Python is much easier to learn, hence more people use it and develope for it.

@omarz5009

3 жыл бұрын

@@jagaya3662 That makes sense. Thanks for explaining :)

@omarz5009

3 жыл бұрын

​@@anelemlambo497thank you for explaining :)

@Sujitth

3 жыл бұрын

How these graphics and animations were made actually?

The fact that I was sent here by my university lecturer is a testament to how good 3Blue1Brown is.

@RasheedaLehri

3 жыл бұрын

Same here😂

@DanishJamal898

3 жыл бұрын

Same here😂😂

@MuhammadAhsanKaleem

3 жыл бұрын

Same here 😂😂😂

@nyzss

3 жыл бұрын

Same here 😂😂😂😂

@Brahvim

3 жыл бұрын

Hm...... _Daniel Shiffman?_

I am Programming for more than ten years and I never saw anyone explain a complex idea by such a clean and clear terms. Well done.

@ABHISHEKKUMAR-bl5wy

10 ай бұрын

yeah thats power of manim !

@hritijrana1409

3 ай бұрын

can you explain the animation at @9:30

@arjunkc3227

2 ай бұрын

Because you only program without mathematics

@tentimesful

Ай бұрын

secret scientist are much further than this, like they can wirelessly from satellite I think give dream images and change dreams you make yourself... for me they always try to make it ugly,...

@edwardmacnab354

Ай бұрын

Markov Chains ? how simple is that ?

This is how you taught Deep Learning, people. I've seen lectures that either be categorized into 2 groups: too hard or too shallow/general. You have balanced between them. Thanks you so much!

I am currently doing my Master's in Data Science and this 18 minute video is better than any course I have taken so far

@edwardmacnab354

Ай бұрын

maybe give up ?

@samethingsmakeuslaughmakeuscry

Ай бұрын

maybe ligma

I'm studying AI for my masters degree and my professor told everyone to watch this video to understand the concept :D

@andrea_dev

3 жыл бұрын

he knows...

@ixy6864

3 жыл бұрын

amazing. :D

@misaelzepeda7920

3 жыл бұрын

me too!

@curiousredpand90

3 жыл бұрын

School is a scam

@shubhamsinha7702

3 жыл бұрын

Where are you studying ai??, I mean what is the name of your college or university????

Around 2 years ago I was a sophomore statistics student and had no idea what deep learning is, until I met this video and 3b1b channel. His clear explanation of neural network and animations blew my mind. Since then I started my journey in machine learning. For a random reason I clicked onto this video again, and realized how long my journey in this field have been. This video really changed my life and I am really grateful about it.

@clubofsercettechnologies9135

3 жыл бұрын

@3Blue1Brown Please give a heart .......

@yashrathi6862

3 жыл бұрын

I am in class 11 currently and unfortunately I am not able to understand this. Could you point me to some prerequisites?

@patrick2288

3 жыл бұрын

@@yashrathi6862 The linear algebra series that was recommended in the video is a good start, other than that you should keep watching this video and you will start to understand it better the more you do. I am also in class 11 and that is what helped me

@jialiu1796

3 жыл бұрын

One year ago I met this video. I couldn't understand any single word in it. A year later, I am back and I still cannot understand it. I am fucking stupid.......

@manswind3417

3 жыл бұрын

@@yashrathi6862 To be honest there are no real "prerequisites" for learning neural networks, in the end it just gets down to how familiar you are with the concepts of basic graph theory. However, I admit that it can be pretty overwhelming for someone to try and comprehend all the stuff at once, which is why being savvy with the use of linear algebra is a must. Apart from that you should try your hand at programming once, perhaps the algorithmic mode of thinking would help you deveop an intuition for neural networks. And yes, of course try to explore graph theory, for neural networks will resonate much better with you once you do, imo.

I just love the way the concepts of neural networks are explained in this video. After watching it, you feel like you have an idea about the "building blocks" of a neural network. Since I'm new to the topic, it's hard to judge whether crucial things are left out or over-simplified, but I feel it's a great introduction to the topic. Thanks a lot for sharing this!

Every few years I come back to watch this series. The most intuitive and understandable explanation of neural networks that exists

In class : printf("Hello world"); The exam :

@ThomasJr

3 жыл бұрын

kkkk

@supermarketshenshah8771

3 жыл бұрын

Why did introduce us to quantum mechanics. You sucks.

@aedaldaniel

3 жыл бұрын

😂😭

@hybmnzz2658

3 жыл бұрын

@@supermarketshenshah8771 Schrödinger equation is the coolest thing in physics you suck

@divyasharma9716

3 жыл бұрын

@@ThomasJr {i>{

how is it possible that I can lie in my bed on a Sunday and am presented with mind-boggling cutting edge knowledge told by an incredibly soothing voice in a world class manner on a 2K screen of a pocket supercomputer basically for free

@smit_1449

3 жыл бұрын

Welcome to the 21st century

@Unstable_Diffusion89

3 жыл бұрын

yet 90% of people use that supercomputer to mindlessly scroll feeds.

@Unstable_Diffusion89

3 жыл бұрын

@@Charge11 And software engineering advancements, thousands of years of intellectual history, biological evolution of conscious brains and so forth. point is, it's miraculous if you step back far enough.

@stargrabbitz6726

3 жыл бұрын

because it isn't

@ericvelasquez1282

3 жыл бұрын

It's not free, Google's massive network of AI neuron is harvesting terabytes upon terabytes of information about you every time you click on anything.

This channel and the visualizations it produces to teach subjects like this one is the best advance in the history of communicating mathematical ideas. It's extraordinarily inspiring that one person can have such a large impact on the world today (and for generations to come). Thank you, Grant Sanderson.

@test-sc2iy

7 ай бұрын

Dude, inspiring comment yourself.

3Blue1Brown is the go-to channel that explains complex math concepts with the highest clarity without any loss of complexity of the topic. Simply brilliant!

Our generation is lucky to have mentors like you, thank you so much sir!

@nadanfrenkiel763

2 жыл бұрын

Fine Indeed, Refreshing Super Tenacious

@elgary9074

2 жыл бұрын

This is the 80s generation we were listening rock music and looking how to get things done better we grew without mobile phones just sitting front of a computer or playing basketball outside in the park. We grew without rap, hip-hop, either thinking that the gang is a cool guy! this is what now generations require badly!

@MiguelAngel-fw4sk

2 жыл бұрын

​@@elgary9074 I hope that someday scientists will be able to understand what you have written.

@paromita_ghosh

Жыл бұрын

@@MiguelAngel-fw4sk 🤣

This is my very first time commenting on a KZread video, and it's just to say: This is the best explanation of anything ever.

@NepalSadikshya

4 жыл бұрын

yet, people don't understand

@tommyproductions891

4 жыл бұрын

Some Eng congrats man

@the7th494

4 жыл бұрын

i couldn't understand anything over a minute in

@bensfons

4 жыл бұрын

Wait until you see his video about the Fourier Transform. My GOD that vid is the best thing i've seen in ages.

The way u guys animate and explain the difficult topics in the most simple visual way is impressive...kudos and thank you for the efforts.

I absolutely love this video, I saw this video a few months ago and couldn't understand it too well until after I went into linear algebra and took a course on deep learning. This explanation is still one of the best ones I've ever seen. I truly respect your work here and please keep it up!

Is anyone else nominating this series for the "Distill Prize for Clarity" in 2019? I really think he deserves it, excellent visualizations.

@WepixGames

5 жыл бұрын

Yeah I would, every day of the year.

@buburayam6557

5 жыл бұрын

Totally! Animation and visualization here makes understanding as clear as a crystal!

@milanpandey8431

5 жыл бұрын

yesssss

@lmf1799

5 жыл бұрын

@@benisrood Can it be nominated for anything else?

THE TEACHING ASIDE , THOSE GRAPHICS MAN! TAKES LOT OF EFFORT!

@deepak4u23

3 жыл бұрын

Exactly....Lot of effort is required to make this type of video.

@hmm7458

3 жыл бұрын

why iam seeing Indians everywhere

@kartikeya9997

3 жыл бұрын

@@hmm7458 cause u are also an indian...

@pandatobi5897

3 жыл бұрын

@@kartikeya9997 that's not an answer lmaooo

@ryanwhite7401

3 жыл бұрын

I know I can't do better. I'll be referring students in my neural networks class to these videos, lol.

This the most comprehensive and understandable explanation of a neural network. Thank you.

You have been a key element on my Machine Learning education! I am a visual person. So your videos help me so much to understand the concepts behind the math.

PART 1? THERE WILL BE MORE? YAS 3BLUE1BROWN IS DOING NEURAL NETWORKS! TODAY IS A GOOD DAY

@HowardMullings

6 жыл бұрын

You will find this series very helpful as well. kzread.info/dash/bejne/lKyZlLZmhpu-gtY.html

@atlas7425

6 жыл бұрын

I totally agree, my friend. Today is a very important day in the history of youtube mathematics. And since I am the 100th person who liked your comment, I would like to give a little inspirational speech: To all mathematicians, physicists, engineers, computer scientists or people who want to become one of those in the future, today is a very important day. The best youtube mathematician, 3Blue1Brown, has made a video about neural networks and plans to make others about it in the future. I think it's not necessary to explain the inherent significance this topic has concerning the future of our technology and our understanding of the universe and the processes going on in it. These videos will help the new scientific generations to cope with the structures still to be found and to bring on a new and deeper understanding of the things that have been found and examinated before. Humanity is reaching a point, where the wish to understand the world is higher than it has ever been before. You, dear future scientists, can all be a part of the progress we are just going through, you just have to have the Will and the Strength for it, never give up if things aren't working properly or as you expected and always remember: At the end, everything will be fine, so if it isn't fine, it's not the end. Actually, I have reached the end of my little inspirational speech (and it is fine ;) ), and to complement it well, I want to quote a famous poem which plays an important role in a very good and famous science fiction movie.... "Do not go gentle into that good night, Old age should burn and rave at close of day; Rage, rage against the dying of the light. Though wise men at their end know dark is right, Because their words had forked no lightning they Do not go gentle into that good night. Good men, the last wave by, crying how bright Their frail deeds might have danced in a green bay, Rage, rage against the dying of the light." Thank you.

@xipity

6 жыл бұрын

This comment is lit!

@zionj104

6 жыл бұрын

yas

@hawaiijim

6 жыл бұрын

RNN? LSTM?

Written some notes from the video to read quickly. Hope it helps somebody. l Neural Networks can recognize hand written digits, letters, words ( in general, tokens ) l What are Neurons? ○ Something that holds a number [ 0, 1] ○ The higher the number, the higher the "activation" rate l Consider a 28*28 table in which each unit is represented by a value between 0 to 1 ( activation number ) ○ Let us divide each row into a "layer", such that, if we were to divide all the layers, the last layer would contain 10 "cells" ( units ). ○ Values are passed from the previous cells to the last layer ( 10 unit layer ), again, between 0 and 1. The higher or closer the value is to 1, the more probability exists that the image scanned represents that unit cell. So, a unit cell that contains the highest value is indication that the index of the unit cell is the value of the image scanned. ○ 16 cells in the second and third last cells are arbitrary. ○ Each cell is linked ( causes activation ) to some ( not all ) other cells in the next layer which further cause more activation. ○ Each 'cell' corresponds to some sort of identification about how much a certain region 'lights up', and then sends a value to another node which reacts based on the received value. ○ To find whether a certain cell with light us, like each cell be represented by 'a Cell_Number ', and let each cell be 'assigned' a certain weight 'w'. The sum of all the products of each cells 'a' and 'w' will be: w1*a1 + w2*a2 + w3*a3 + w4*a4 + … + wn*an ○ Let these weighted sums represent some 'grid cell'. Each cell is either 'on' or 'off' with respect to being positive or negative. In this case, 'green' represents on, and 'red' represents off. ○ Let us concern ourselves to a certain region where the cells are mostly on. Ergo, we would be basically summing up the weightages of those grid cells. ○ Then, if you suppose a region where there are brighter grid cells in some part which are surrounded by dark grid cells, then that area is the main edge we're looking for. ○ Of course the sum of weightages gives us very different value. In order to 'squish' that number line into 0 and 1 , we use the function: Sigma(x) = 1/(1 + e^-x) Which is a sigmoid function or a Logistic Curve. Our equation now becomes: Sigmoid(w1*a1 + w2*a2 + w3*a3 + w4*a4 + … + wn*an) ○ But what if you don't always want to light up when it's a positive value, and rather want it to light up when the weighted sum of that grid cell full fills some condition, such as > 10. This is called 'Bias For Inactivity'. Using this example, our equation becomes, Sigmoid(w1*a1 + w2*a2 + w3*a3 + w4*a4 + … + wn*an - 10) Here, 10 is the "bias". ○ The possibilities of the different knobs and dials open us to the term of "Learning", which just means to find the correct relation of values which perform the expected behavior. ○ The complete expression above can be adjusted in the formula: a(1) = Sigma(W*a(0) + b ) ( (1) and (0) are superscript here ) Where W = k*n matrix whose elements are weights corresponding to a cell. a(0) = n*1 matrix whose elements are the 'a' of each cell. b= n*1 matrix whose elements are the biases of each cell ○ NOTE: Sigmoid function is not used very often now, instead it is replaced by ReLU ( Rectified Linear Unity ), which is defined as: ReLU(a) = max(0, a), a linear function where f(a) = a for a>= 0, which for a < 0, f(a) = 0.

@surbhianand5603

5 жыл бұрын

thanks..

@vikasbansal4180

5 жыл бұрын

Good work👏👏👍, thnx

@tejasmaloor2507

5 жыл бұрын

Thank you sooooooo Much!!!!!!

@berikeed

5 жыл бұрын

You saved my life!!!!

@hiimthepoor8520

5 жыл бұрын

Thanks!

Sigmoid squishification function might just be the best thing I've ever heard in maths

Thanks for all the effort you put into the work! Cannot stress enough how glad and inspired I am for having people like you on the planet.

As a person who has self-learned a bit of python and is just trying to learn this stuff, this is exactly the best place to begin.

@DeFabulisHistoria

3 жыл бұрын

My thoughts exactly!

@duykhanh7746

2 жыл бұрын

At the end of the video, he showed the relu function f(a)=a with a>0, so the value of the neuron doesnt have to be between 0 and 1?

@funwithstudy2333

2 жыл бұрын

That's me

@B20C0

2 жыл бұрын

@@duykhanh7746 A bit late but if your question hasn't been answered yet: It doesn't really matter if you have a value >1. Basically anything above 0 is an activation and you can also view it as the size of "a" being the intensity of the activation. Biological neurons can also be more active by firing in fast succession (up until they reach the maximum possible firing rate of like 250-1000Hz depending on the source), but you don't want to introduce things like loops in artificial neurons to not slow down your network. So to simulate this kind of behavior, you just let your output get bigger. You can compensate for the lack of an upper limit in the following neurons by adjusting the weights and the biases. TL;DR: No. :D

@Skynet_the_AI

Жыл бұрын

🙂

this is my first introduction to machine learning and I watched this only twice to get it, really goes to show how good of a teacher this guy is, the effort he puts in is nothing short of amazing !

@filippians413

3 жыл бұрын

Definitely am gonna have to watch it again. Got half way through and it started to get pretty heavy

My God! No words to express as to how you made such a complex topic to be understood using visuals so easily! Hats off!!

i have recommended this channel in every single conversation I had in 2022. Thank you!

Bio teacher: what is a neuron? Me: a thing that holds a number between 0 and 1

@zbr4cker117

4 жыл бұрын

lmao good one.

@prabeshpaudel5615

4 жыл бұрын

get out of my class

@insomnia20422

4 жыл бұрын

You could actually associate synapses and their enhancers (weight > 0) as well as their repressors (weight Then the amount of input the target-neuron gets determines if it will fire itself (and how strong). So our brain works very similar to the artificial neural networks we created and it just a matter of time when there will be an AI that can genuinely learn like we can (-> artifical general intelligence or AGI) and therefore be able to surpass all of us (-> artificial super intelligence or ASI).

@haykg

4 жыл бұрын

InSomnia DrEvil Great explanation, but you ruined the joke lmao

@SuperBhavanishankar

4 жыл бұрын

@@prabeshpaudel5615 haha

One of the few teachers that don't make you feel stupid, but actually help you understand the topic. I appreciate the time you spend on this.

Today I came back to the first video of yours which I saw some years ago and which made me appreciate maths much, much more. It is also incredibly well-made and I just watched it again. Thanks for your work, Grant! I am still subscribed and enjoy and learn from each of your videos since.

This is simplest and best way to explain neural networks. This is the best introductory video on Neural networks I watched so far.

This video kickstarted my journey in ML a year back. Trust me, back then I watched this video three times to finally understand. It might be challenging for few to get it but when you get it, it just feels amazing

@chitranshsrivastav4648

Жыл бұрын

@@DawnshieId why do you think it cannot go beyond 1?

@jackgrothaus2722

Жыл бұрын

Felt like the brain chair meme when this video finally clicked (after the 4th watch)

@abinashkarki

Жыл бұрын

@@chitranshsrivastav4648 How do you weight?

@cameleonarabic8124

9 ай бұрын

after 8:38 felt really hard to understand.. I will try again and comment back

@CSgof___yourself

7 ай бұрын

Hell yeah. Im literally in your shoes rn

I work in a company developing just this kind of stuff. I’m still baffled how incredibly intelligent people are and I have no idea how they can repeatedly accept me as worthy enough to be with them.

@blackbriarmead1966

2 жыл бұрын

impostor syndrome. There will almost always be someone better than you, but you are probably better than you give yourself credit for

I saw this video when it first came out, I was amazed at how Deep Neural Networks worked and how he could explain them so clearly. Now I am working as a Machine Learning engineer. Thank you so much for helping me find my passion

neatly explained, never thought machine learning would be this easy to comprehend most of the youtubers out there just throw bunch of concepts out without actually explaining the relation and the logic of the whole design most of the time i thought i was too stupid to understand these things and that i must take a specialized college course or sth but turns out that wasnt the case, its just that youtube needs more people like you who can explain things with sophisticated details in simple language thanks for your contribution bro

This guy: Uses dark screen to illustrate a long concept so that it's easy on the eyes. Everyone: "Carefully, he's a hero."

@betterfly7398

3 жыл бұрын

Careful, you might poke the boomers who think that black themes are just for edgy people.

@Baddaby

3 жыл бұрын

Meanwhile schools: LET'S CHOOSE THE BRIGHTEST AND WHITEST COLORS FOR THE LIGHTS, WALLS AND ACTUAL BOARD They're bound to pay attention then, right?

@Shadow77999

3 жыл бұрын

Me at night 👌

"Even when it works, dig into why" - 3B1B. Your lessons are pure gold sir. I'm here after watching the entire Essence of Linear Algebra. Thank you.

I wish I had known this channel 4 years earlier when I did my master's degree in analytics. This is so easy to understand!

I just watched Welch labs machine learning playlist a few weeks ago. It was mind-blowing. I'm glad you're getting into machine learning too! : )

@3blue1brown

6 жыл бұрын

Yes, Welch Labs is truly great.

@temitopehardhekheyhe7359

3 жыл бұрын

Thanks for the recommendation!

@3Blue1Brown - A quick suggestion: Red-green color deficiency is the most common form of colorblindness. When trying to represent information via a color spectrum, could you please choose colors other than red and green for this reason? Red and blue are good choices because they are distinguishable by both red-green color deficient people as well as blue-yellow color deficient people, which is the second-most common form of colorblindness. I was completely unable to tell which pixels have positive weights and which ones had negative weights in your example due to my colorblindness. Thanks, and keep up the fantastic videos :)

@sergey1519

5 жыл бұрын

Upper row of this white zone had negative weights, central part had positive, and bottom row had negative weigths.This means that if you have horizontal line this neuron will have high values, but if vertical line or any other patern then it will have value that is closer to 0.

@BreaksFast

5 жыл бұрын

windows 10 has colour filters that will fix this for you. go to settings, ease of access, and click on 'colour filters'

it's incredible and inspiring to witness someone teaching a subject where they know all the details, all the whys and hows behind each detail. I can only thank you and say that you inspire me to enjoy learning especially if i can help someone learn with more ease a subject that was hard for me to gasp. I wish you all the best and thank you so so so much

Explaining something like Deep Learning with so much clarity is very hard to find, hats off to you and thank you for sharing the knowledge!

I am a Data Scientist and I would like to tell you THANKS. I have NEVER met anyone with the ability to teach complex things in this way. A M A Z I N G. Please continue like this, for example with other statistics videos. You can substitute many of the University courses.

@anjalikhobragade7063

8 ай бұрын

May I know which type network connection allows neural network

Every second of this video is a Pre-requisite to the next second of the video :D

Never see anything similar than this. Unbelievable that such understandable visualization of illustration can be done. Crazily hard and great work!

amazingly well-explained. hats off to you, good sir

3Blue1Brown "Sigmoid Squishification Function": 11:23 Most brilliantly named function I have ever heard named. Absolutely brilliant. The merger of the technical with the simple with a double alliteration for easy memory.

What a time to be alive, with such KZreadrs around!

This is by far the best explanation I have seen to understand how a neural net works. Kudos.

I have to be honest...During school and college I never was a fan of math at all....But this channel is actually changing my mind. I even bought a math book!!! This is a good channel!

Your way of making things simpler, relevant, and uncovering the most complex concepts into meaningful lessons is amazing.

I am just astounded. I spent so much time trying to understand this concept. Everywhere I looked people would show the similar neural network animation, but no one ever really explained and exemplified every single step, layer, term and mathematics behind it. The video is really well structured and with amazing animations. Extremely well done. My mind is so blown I can barely write this comment.

I know you read this all the time, but I must say it. You videos are simply incredible! Your work reshapes education. You deserve every cent that this platform puts in your pocket.

damn, this was 6 years ago

@daibbarmoo8725

Ай бұрын

I just realized that! 😮

@rushikesh1203

28 күн бұрын

I found this today.

@user-su4sy5hp4l

28 күн бұрын

me too ha ha😂

@SubatomicScale

26 күн бұрын

AI has existed for decades, the concept shown here (multi-layer perceptrons) have existed since the 1950s

This channel is so damn good. Other channels give some terrible analogies and some other explain it in extreme technical detail. This strikes the perfect balance and provides a foundation to understand the more technical details

@Mosfet510

6 жыл бұрын

I wish this guy was my math teacher back in high school.

@Certio0

6 жыл бұрын

Just shows that good teaching skills are very rare.

@MrFredazo

6 жыл бұрын

Understandable animations on the perfect timing with the words, and no holes on the explanations, makes the trick

Finally, a video that does more than just present some neurons and layers and say, “here’s an activation function.” Your video describes how the model is developed and why the algorithmic approach is appropriate for the problems neural networks try to solve. Thanks!

This video explains the subject so clearly and makes the topic so accesible where previously it wasnt - thank you. Great communication.

Wow, I sort of kind of understood neural networks before, but after watching this video I feel like I understand them SO much better!! Thanks so much for making math videos that are visual, fun, and thorough! :D

📂Documents └📁Videos └📁 3Blue1Brown └📁 Bad Videos └⚠️ This folder is empty

@leongladkowski3078

6 жыл бұрын

True

@rustin3255

6 жыл бұрын

I think the more important question here is why do you have a videos folder inside your documents folder

@OktoPutsch

6 жыл бұрын

Hiding porn, one layer at at time.

@irvinge4641

6 жыл бұрын

corny as hell

@PrasannjeetSingh

6 жыл бұрын

And more importantly!! why would you even save the "bad videos"!

watching this for a second time and i can't believe how illuminating is to come back to the basics and get a renewed understanding -- grant, you're a treasure

The term "squishification function" really drove the point home for me regarding what these functions were meant to do.

Behind this material is an extreme shot of giftedness. Explaining something is not easy. You first need a solid physical model for the topic in your brain and then you need to translate this model into a mental model that can be faithfully exported into others' brains. I congratulate you for this excellent job and I hope that you appreciate what you are and what you are doing. This is much more important than how much money this business brings.

You're the first person to explain bias in an intuitive manner. Thank you.

Too good. Can't imagine how long it'll take for me to understand this concept without your video!

Thank you so much for making this. I just finished a lecture on this and didn't understand it at all. In 5 minutes here I understood so much more.

ML grad student here and hands down Grant covered an entire chapter concisely and very clearly in this video. I don’t think reading any academic books will give you this amount of intuition on this subject within a few minutes. Still mesmerized by the effort!

Wow a lot of things that i've learned on this first year of system engineering are captured on this video, but previously I didn't understand the real essence of it. Thank you for these amazing vids! Greetings from Argentina :)

@Octi00

5 жыл бұрын

Boludo

It is a tradition for me to come watch this series every now and then.

It was magic when this video starts lining up with what I have just learned in a data mining class. Love your videos so much! Also, would be cool to see your take on power laws and self-organized criticality--I'm sure some really interesting connection can be made visually!

Can't believe how well explained and intuitive this is. I aspire to become a teacher like you.

One “like” is not enough for the work that has gone into making one such video. This video should be part of the curriculum and he should get the royalty for this. Awesome work!

@natew4724

Жыл бұрын

Yes!

@benjaminmllerjensen8705

Жыл бұрын

I'm currently taking a computer science math course where the professor strongly advised everyone to watch this exact video series to get an intuition about what all the math is actually used for.

@drunkpy1590

7 ай бұрын

+1

I have never seen a more clear and pedagogic way oof explaning neural networks! Thank you! And awesome graphics btw…

I don’t even speak English perfectly but the way that you explain is even better than a person who knows about this in my language, thanks a lot

This is the best intro to neural networks I have ever seen. The presentation is excellent! The animations are very very very helpful especially in understanding the formulas and matrices and how they came to be. Thanks a million. Looking forward for the next one.

It took me one week to understand this when I was reading a university lecture. You explained it to me in 20 mins. You are such a savior. Thanks 3Blue1Brown!

You are a beautiful human being. I've watched you even before college, just out of interest and curiosity. Now I'm in college, and I can't thank you enough. Math is so much more amazing when you have many different eyes to view it in. Also I'm currently taking linear algebra and an intro to neural networks.

Fantastic visualized learning!

Currently doing my capstone on deep learning and this is among the best, and easiest to understand descriptions I have seen.

This is deep.

@NoNameAtAll2

6 жыл бұрын

Dave Null Nah, only 2 hidden layers

@TheOtherNeutrino

6 жыл бұрын

We need to go deeper. Neural networks within neural networks.

@thenasadude6878

4 жыл бұрын

Neuralception, the movie

I hereby solomny swear, that once I finished my Bachelors next summer, I'm gonna donate 50 Euros to this channel. The vids on the Fourier Transformation saved my ass

Wow. This is one of best videos on deep learning I've ever seen.

This will go down as one of the best lectures in history. What an amazing and concise explanation of something I thought I would never understand ...

@hamidbluri3135

2 жыл бұрын

totally agreed

Awesome video! As someone who's just starting learning neural networks, I don't have much trouble understanding this video and it helped me understand what weight and bias are! Thank you so much!

Can't believe that I started watching your videos explaining Linear Algebra when I was a first year Electrical and Computer engineering student four years ago

Thanks for helping me understand how NN works :D I started exploring this subject a few days ago and your video helped me a lot to understand some things better.

Neural networks is a topic I've wanted an intuitive understanding of for a while. 3b1b has the most intuitive explanations on KZread. This video could not be any better.

@alchemicalmoon3426

6 жыл бұрын

MTO Intuitive understanding?

@bobbob3630

6 жыл бұрын

It isn't intuitive understanding if you have been looking for a explanation in a while xd

@Fermion.

6 жыл бұрын

N·J Media - Intuitive understanding is understanding that in a triangle, for example, the side across from a given angle has to increase or decrease in length relative to its opposite angle, without a mathematical proof.

This is probably the best video that I've seen on the topic of basic artificial neural networks (ANNs). Most of the videos that I've seen on the topic are either overly complex or leave out important information about ANNs, so you're forced to watch many videos on the subject to understand the basics. But this video gives you all the basics without making you feel like there's a lot of information left out. Granted that there's a lot left to learn, but I'm sure chapter two will get into some of that.