Part 2 is out! kzfaq.info/get/bejne/Y8ekarZ91Lyvj30.html
@Mehrdadkh87 Жыл бұрын
We are looking for Part 3. Thx for sharing your experience and knowledge.
@unoriginalusernameno9994 жыл бұрын
Did you just say you got Yann Lecun to help you!!!! He's got a TURING award boi!
@vijayabhaskar-j4 жыл бұрын
Well, I think he is one of Yann's students so yeah.
@vcubingx4 жыл бұрын
Haha yeah, Yann was one of the guys who took a look at the video before I published :)
@unoriginalusernameno9994 жыл бұрын
vcubingx dudeee that is so coolll....
@PrometheusCoding3 жыл бұрын
Dang
@pinchikassandra2 жыл бұрын
@@vcubingx that's amazing man!
@nirbhay.8400k3 жыл бұрын
This Deep Learning Series will be a life-saver for many !
@alexandrepv4 жыл бұрын
I always tried to visualise the decision hyperplane on the data's domain, but this has been very insightful: Visualising the data into the projected-non-linear domain. Brilliant video! :)
@vcubingx4 жыл бұрын
Thanks!
@shivChitinous4 жыл бұрын
This is great! Makes the analogy with biological neurons crystal clear for me for the first time 😄
@vcubingx4 жыл бұрын
Thanks! I'm happy that you understood it!
@aaronchan64474 жыл бұрын
This is actually so good! You've explained it so very clearly and left no gaps in the logic. I have been wanting to get into machine learning, and you have helped immensely.
@mansfiem4 жыл бұрын
Great stuff! I'm familiar enough to understand the basics, but I love that this is visually done.
@vcubingx4 жыл бұрын
Glad you liked it!
@charlsssoooo4 жыл бұрын
I love these videos. All of my life I was considered mathematically stupid. I can't read mathematical notations well. I failed pre-calc. But now as an adult, watching these visual videos have led me to be able to understand those concepts that were impenetrable to me when I was younger.
@tonywang44314 жыл бұрын
When you first showed 10:32, I was thinking that ReLUs are very bad because they collapse data too much and makes points indistinguishable. However, you later showed the 3D case in 11:49, which was very insightful for me. When data lies on a low dimensional manifold of a high dimensional space, the 11:49 picture is probably more accurate. In this case, ReLUs don't actually collapse data in such a bad way.
@postvideo974 жыл бұрын
ReLUs don't "need" to collapse data, it only collapses what is necessary. If you think in terms of linear combination of functions, 2 ReLUs can be combined into a "S" shaped sigmoid function, and 4 ReLUs can be combined to form a "Bell Curve" function. Both are very crude and merely approximations, but as you increase the number of dimensions they become smoother. An infinite amount of ReLUs (differently scaled and translated) can approximate any function.
@rohanshetty10164 жыл бұрын
This is awesome!. I had half-baked knowledge on all these topics before, after watching this video it's crystal clear!. You made it look so simple. Thank You!
@brendawilliams80623 жыл бұрын
I liked it too. I couldn’t help notice the accordion action assiciated with the squares roots being used with two lengths to scale them.
@alecunico4 жыл бұрын
Great man, thank you so much! Can't wait to see the chapter 2!
@FedeGianca4 жыл бұрын
This is great work from you, congratulations!! Also a big thank you to Grant Sanderson, from @3blue1brown, for manim. Both of you make quality education so much more fun, as it should be. So thanks a lot!
@suleimansiddiqui24683 жыл бұрын
Eagerly waiting for chapter 2
@PowerhouseCell4 жыл бұрын
Really well done! It's cool to see the differences in the way you covered things compared to 3b1b. Can't wait to see more :D
@vcubingx4 жыл бұрын
Thanks a ton!
@saidelcielo4916 Жыл бұрын
WOW. I've been studying neural networks for a bit now, but this made me see them in a new way. PLEASE MAKE MORE VIDEOS!!!!
@aidosmaulsharif95704 жыл бұрын
Man it is just so high level. Your explanation, vizuals and the topic itself are great. Subscribed and waiting for the next chapters!!!
@vcubingx4 жыл бұрын
Thank you very much!
@TheNostradE34 жыл бұрын
Really good content, one of the clearest explanations i've heard about neural networks so far! Keep up the good job, cannot wait for the following videos!
@jamilahmed29262 жыл бұрын
By far the most essential visualization of neural net Ive seen to date! 🤩
@ragha19884 жыл бұрын
Amazing visualization. Looking forward to next videos in the series.
@vcubingx4 жыл бұрын
Thank you!
@COOLZZist2 жыл бұрын
Wow, amazing way of visualization of non linear function and how data is transformed.
@kavinyudhitia2 жыл бұрын
OOH MY GOSHHH THIS IS GREAT CONTENT. thanks a lot!!!!
@anupriyamagesh3 жыл бұрын
Neural networks look simpler than these animations made. Fantastic job!
@NovaWarrior774 жыл бұрын
Another banger Vivek!
@Visualization1014 жыл бұрын
Woahh, incredible! Happy to come this early :D
@ldx84924 жыл бұрын
Masterfully done, you managed to explain it in "simple terms, but not simpler"
@darmilatron Жыл бұрын
Thank you for your video, this is one of the best videos explaining neural networks that I have seen. Good Work
@sifiso50554 жыл бұрын
Another excellent video🙌
@doyourealise3 жыл бұрын
who came here from canziani sir course? :) Loved the visualization bro
@rajeshviky4 жыл бұрын
One of the best and most intuitive way of descibing neural network! You took it to next level... looking forward more from you :)
@vcubingx4 жыл бұрын
Thank you!
@electronutlabs4 жыл бұрын
Fabulous! Looking forward to the next in the series.
@morthim4 жыл бұрын
one of the better talks on the topic. well done
@lightinrhythm8548Ай бұрын
Insane 🎉🎉,,,,more strong visualisation videos
@YitzharVered4 жыл бұрын
Wow! I've done things with neural networks before without even understanding the actual math behind it! Very enlightening!
@viveksurve50314 жыл бұрын
RT from THE three blue one brown, great work dude!
@rgoddard4 жыл бұрын
Great video. Really looking forward to the series!
@t.gokalpelacmaz5844 жыл бұрын
You have really developed man. Great progress and keep it up.
@gabrielguimaraes56284 жыл бұрын
Awesome video!!! Can’t wait for the next ones!
@amanasci24813 жыл бұрын
When is next part coming? Any updates?
@AnishBhethanabotla3 жыл бұрын
hes in college now
@vcubingx3 жыл бұрын
@@AnishBhethanabotla I am yes, but I'm currently working on the next part! I've scripted, recorded and made most of the animations, so I have some editing and reviewing to go but it should be out soon!
@mjf14224 жыл бұрын
This is amazing stuff. So many things I was able to understand that I couldn't get my head around before. Thank you so much!!! 😊
@gregvial4 жыл бұрын
Great video! You were right, even as an experienced user of neural networks it helped me see things in a different way
@vcubingx4 жыл бұрын
Glad to hear it!
@sitrakaforler8696 Жыл бұрын
Awesome content man. Bravo!
@Originalimoc4 жыл бұрын
Interesting, looking forward to part 2😉
@patrickryckman38674 жыл бұрын
Absolutely awesome. Very informative and helpful for my visual mind. One thing I would love to see go along with your video, would be at the start you showed 3 neurons with 3 hidden layers. I would love to see a small dataset with perhaps 3 features, and follow along through with that throughout the whole video, and using real numbers so we could follow along and even work it out on paper if we wanted to. Anyways, Thank you so much for your awesome work. Subscribed!
@AWESOMEEVERYDAY1014 жыл бұрын
This is too good. 3B1B vibes man
@gustavoexel55694 жыл бұрын
It would be nice to pay attention to the colors in the plots. I am colorblind, and at 6:52 it's almost impossible to see the boundary between the two colors.
@tristunalekzander56084 жыл бұрын
Well let me tell you they were beautiful and vibrant.
@deformercr66803 жыл бұрын
@@tristunalekzander5608 ... Talk about rubbing salt to a wound..
@hybmnzz26583 жыл бұрын
@@deformercr6680 you are pitying him for a condition he is already used to. I would argue that is worse than the pointless comment about how vibrant the colours were.
@deformercr66803 жыл бұрын
@@hybmnzz2658 it's not pity, it's being considerate. If you're eating some delicious food right in front of someone who can't eat, and then you start telling the person how tasty the meal is... I would say that's a little inconsiderate.
@hybmnzz26583 жыл бұрын
@@deformercr6680 if you tell someone who is lactose intolerant that your milk tastes good I think they would not care. And yes I think colourblindness is closer to that than the immediate sensation of tasting food in general. You meant no harm so I won't argue anymore. I just don't see it.
@arazsharma47813 жыл бұрын
Superb!! Eagerly waiting for the next videos! :D
@RedOneM4 жыл бұрын
Thanks a lot, this definetly will become handy for my study just in a bit over a month.
@vtrandal2 жыл бұрын
Excellent. Thank you!
@donbasti3 жыл бұрын
Please make more, these are amazing!
@chrisr.3321 Жыл бұрын
this is suuuuuuuuuch a great video! Thanks
@ShivamVerma-gq2sm4 жыл бұрын
Thanks a lot for such a vivid explanation ! Looking forward to more such content
@ricardoroxas76904 жыл бұрын
Nice! Looking forward to this series. 😁Imagine if we see an animation of an actual handwritten number image transformed into the decision "square"
@vcubingx4 жыл бұрын
Good idea! I believe distill.pub has something like this
@lukejagg4 жыл бұрын
He’s probably using publicly available data, so I doubt he’ll do an animation like that.
@nikhilyewale26393 жыл бұрын
Nice video.. Waiting for next chapter on visualising neural-nets !
@vcubingx3 жыл бұрын
Working on it! It should be out soon
@MrDark-fm4gp4 жыл бұрын
omg, I am so glad I found this channel
@mahdiamrollahi84563 жыл бұрын
I come from the new course by Alfredo and I dare say this was fantastic. Regards....
@SergioUribe3 жыл бұрын
awesome explanation and video, kudos!
@vcubingx3 жыл бұрын
Glad you liked it!
@AndreiMargeloiu3 жыл бұрын
Part 2 and 3 please!
@devsutong4 жыл бұрын
would be really great if this guy work out these videos with 3b1b... 3b1b is a very good educator
@mohsin-ashraf3 жыл бұрын
Still waiting for the next most precious videos on the world of this series, please update.
@RobotProctor4 жыл бұрын
Is this Manim? Nice work!
@agb25574 жыл бұрын
Great! Looking forward to the rest
@raresmircea4 жыл бұрын
Kids today live at the beginning of the golden age of learning. I have a vague memory of reading a quote from Einstein where he said that art and science will eventually merge to bring a new way of representing reality. If he really said that, he was right! Our visual processing capacity is vast, and if we find sophisticated visual ways of conveying complex relations (through mediums like youtube, CGI, VR, AR) we will bring about kids that have superhuman abilities of grasping reality.
@plutophy124211 ай бұрын
love your series, it‘s so great
@user-vn9ld2ce1s3 жыл бұрын
Sir, you have earned my subscribe, outstanding video.
@SamuelJFord4 жыл бұрын
Subscribed. Excellent video!
@_coderizon4 ай бұрын
Thank you! may i use the animation from 9:45 to 11:15 form this video for a creating a own video on this linear transformation?
@insightfool4 жыл бұрын
Great work. I am still left wanting a more course overview which metaphorically explains how AI is not simply a series of input->hidden->output byt way of some narrative discussion and/or metaphore. Wanting that before I go deep into the linear algebra, and then reference the steps in the matrix max discussion with what was described in the initial narrative.
@aryanbhatia69924 жыл бұрын
thank you so much for making videos on deep learning , much neded.
@lalitvinde14413 жыл бұрын
Broooo it is awesome visualisation video😍,it makes foggy image of neural network fully cristal clear , i am really waiting for next chapter bro, when you gonna upload the next chapter....
@idos50494 жыл бұрын
Great video, love the animations!
@vasicnikola76744 жыл бұрын
Simply beautiful. Thank you
@MrDaanjanssen4 жыл бұрын
Superb animation, well done
@user-dw6jd2ed7l3 жыл бұрын
Great job , excellent
@felixakwerh51894 жыл бұрын
since you mentioned, sigmoid and relu i was hoping you would mention the softmax activation function and probably draw the graph as well, this is good video none the less
@KSK9864 жыл бұрын
Thanks for these videos. Visualization provides powerful ways of understanding and these videos are of great help.
@yashkatare33034 жыл бұрын
You explained it really well. Really like the videos. Plus your voice is as soothing as Sal's.
@vcubingx4 жыл бұрын
You think? Haha thank you so much, I don't think many people think that :)
@isax504 жыл бұрын
I love it great video! And thanks for sharing the course too! ...
@luketyler57284 жыл бұрын
Absolutely fantastic!
@victorvilanova35053 жыл бұрын
Awesome job! I love it!
@parmarsuraj994 жыл бұрын
Beautiful and intuitive!
@usama579264 жыл бұрын
When will the second video will out?
@tiosam14264 жыл бұрын
Thank you, KZfaq Algorithm, the Wise.
@youtubepooppismo52844 жыл бұрын
Handwritten-Digits are usually grayscale images, their pixel can be written in the form rgb(a, b, c) but since it's a grayscale image, a = b = c, so I can represent each pixel with only one numerical value. Given the matrix of those values I can then shove it into a linear vector and give it to the Neural Network. My question is; given a regular image with three (or even four) values for each pixel, how do I convert that into a vector? Do I just put the values next to each other or do I need to convert the rgb values into a single integer? Well the second one seems more reasonable since the first would add additional perceptrons to the Neural Network.
@vcubingx4 жыл бұрын
One of the beauties of this idea of "learning" is that we don't actually need to worry about how we input the data, it just figures it out! Sometimes we don't even know what the data represents. As long as all the data is converted in the same way, it doesn't really matter! Here's an example: one time I used a neural network to play Super Mario Bros. The input to the network would've been a huge vector (iirc >65,000 inputs), which my laptop couldn't handle. Instead, I used the RAM of the console, which was just 128 inputs (not sure, I don't fully remember the number). However, I had no idea what each number represented! A lot of the time, our inputs are things that humans can't make sense of, but the neural network finds patterns among it. In reality, we don't use this "multilayer perceptron" I talked about in the video on colored images. Yann LeCun, the guy I talked about in the end, came up with something called "LeNet", or the convolutional neural network. I plan to make a similar video on the CNN, but it's gonna be a while before that comes out, so I encourage you to look it up! There are some fantastic resources on the web.
@vcubingx4 жыл бұрын
To answer your question, it depends. The first example of just stretching it out would be ideal, because the second one can be a lossy compression. What I mean by that is if you add them, an RGB value of (60,0,0) is the same as (0,60,0).
@youtubepooppismo52844 жыл бұрын
@@vcubingx Thanks for the reply and the great advice, I will definitely follow it. However I think you misunderstood my second "guess" because that wouldn't be a lossy compression. What I mean by that is just converting an rgb value to an integer that represents it uniquely. rgb(0, 0, 0) -> 0 rgb(255, 255, 255) -> 16777215 (256^3 - 1) Which is literally just counting every possible rgb combination. If I remember correctly there are some pretty easy binary operations to make this conversion. Would this also work? Because if so, it'd be a smaller vector. Or it ould just mess everything up hehe Anyway, I will begin to seriously study this topic, also because I have a quite strong mathematical background so it shouldn't be too hard.
@kaifkohari52984 жыл бұрын
What a great explanation. 💯💯💯
@cwaddle4 жыл бұрын
Great visualisatiom
@hamadsultan68614 жыл бұрын
Great Video!
@siddharthsahu11303 жыл бұрын
Thanks a lot where is the next video?
@HuyTran-ny7mg4 жыл бұрын
absolut fantastisch. Thank you so much!
@vcubingx4 жыл бұрын
Glad you enjoyed it!
@Studiousstudent885 Жыл бұрын
Thank you for this
@matron99364 жыл бұрын
Great video, waiting for the second and third part
@PapaFlammy694 жыл бұрын
11111
@gsjxbxbxhdhs53524 жыл бұрын
Flammable Maths suprise flame
@mahdiamrollahi84563 жыл бұрын
What will happen on samples on third quadrant? All of them aggregate to the central point? How this aggregation works following what we are going to lose about these samples?
@chaostrottel_hdaufdutube81444 жыл бұрын
Better than the 3b1b nn series
@manishbolbanda98723 жыл бұрын
so amazing.
@juliuscaesar4673 жыл бұрын
Great video and explication maybe you should add a low sound classical music in the background like 3b1b
@PenguinMaths4 жыл бұрын
This is awesome! It would be cool to make a tool to visualize actual trained neural networks on real data with this visual. Of course most real NNs have more than 3 dimensional feature space but it could be projected to 3 dimensions similar to google’s embedding projector. Have you considered something like this?
@vcubingx4 жыл бұрын
Indeed! It's exactly what the next video is on!
@firSound4 жыл бұрын
@@vcubingx Antsy
@DhananjayVenuri2 жыл бұрын
I am excited with microchips neural networks wearable body gadgets being designed
@photogyulai5 ай бұрын
Nice video dude! How the hell did you make such a complex animations? :-)
@AegeanEge354 ай бұрын
Thanks!
@nikhiljagtap65874 жыл бұрын
I remember this channel from r/3Blue1Brown and it has grown a lot since then. Damn nice!
@rohitranjan9654 жыл бұрын
You just found a complex non linear boundary in my random head 🤯
@yujoonko57763 жыл бұрын
Vivek oni-chan
@williamwu98953 жыл бұрын
kinda cute tho
@vcubingx3 жыл бұрын
ok
@williamwu98953 жыл бұрын
@@vcubingx Such a great youtber. reading comments on old videos. Should subscribe to this young intelligent talented man. :)