How AI Learns Concepts 

STAY TUNED: Next video will be on "History of RL | How AI Learned to Feel" SUBSCRIBE: www.youtube.com/@ArtOfTheProblem?sub_confirmation=1 WATCH AI series: ru-vid.com/group/PLbg3ZX2pWlgKV8K6bFJr5dhM7oOClExUJ

I don't mind that you take your time making these. Your meticulous script preparation & attention to production values allow you to pack massive amounts of information into these videos. You are creating "aha!" moments & rewiring neurons around the world. Bravo!

I know a little about computers. Used to be a lot; but, then I retired and computers and computing move on. This was a wonderful explanation. Not too fast, not in the least boring, and I learned some things. Thank you and KUDOS!

hey keep going with the videos. The quality of your vids easily justifies 2M subs -- you’ll blow up eventually

never would have imagine this stuff in this way. the patience and care of thought behind it is just, like, therapeutic to take in. million thanks man

Yes! A new Art of the Problem video!

Let's all be real here, that last layer is really just on LSD. That's how it all works. Those were some trippy images. Joking aside, fantastic video!

Even though I've seen these concepts before this video does a great job of slowly building up the ideas and bringing the viewer along to the next level of understanding. This was very good. Thank you for taking the time and effort to put this together.

Sorry for my English I registered for this channel many years ago and waited eagerly for videos.

The channel is alive!

I'm leaving this comment here for the RU-vid algorithm.

this deserves a lot more views

It was fascinating to see the images when probing the different layers. The paper folding example was great at explaining this at least for me.

Watching these videos makes me feel just like how I did as a child watching the National Film Board of Canada videos. You've made the correct patterns, well done.

Wow...! This was clearly the best ever explanation of neural networks I’ve ever seen! For awhile I even thought I understood them... ;-) great vid, thx!

Your videos are a thing of beauty! The attention to detail is fascinating, especially how it clarifies the concepts that are explained. I can only imagine how beautiful the world would be if everything was explained in this manner!

Sometimes I wish RU-vid had a super-like button or something to express how much I like this

You made amazing videos on Khan Academy years back and I've finally stumbled upon your criminally small channel. Keep up the good work, I hope the algorithm tips in your favor one day.

Wow very well done, and informative as usual. Thank you so much for the thoroughness in your explanation. One of the most underrated RU-vidr's of all time!

You sir, you deserve much more attention. Very well illustrated and clearly explained. Thanks.

beautifully crafted... we can see the hardwork you have put into it.. subbed

This is fascinating, and the best explanation I've ever seen for how neural networks actually work. You have earned my sub, and I look forward to more insightful explanations of a topic that boggles my mind!

Thanks for making these videos. The paper folding part analogy was really GOOD!

Absolutely loved this! You're truly one of the best at teaching visually

The paper folding part is a genius explanation!

I don't mind watching an hour of this with just you explaining. Thank you for creating this!

What a straightforward explanation.

Love your videos. Every time i see them on my page I just have to watch them

Words can't describe this marvellous explanation!

Awesome presentation! Lots of information in such a short video. Absolutely love it!

Thank you! Extremely helpful visualizations

wow, new video, thank you so much!

this is genuinely one of the best, if not THE best videos about neural networks I have ever seen. Never once have I understood the concept clearly before this!

So good. The layering was such a important lesson to learn. With the 3D simulation it looks like a cloudy rainbow rubix cube being twisted and turned in our minds. The ramifications of these learnings are infinite. Imagine what perceptions our minds as sensory identifiers are not perceiving yet, and the avenues of worlds that it has the ability to open up as we simply use more complex sets of neural sensory functions in our body, and increase our pattern recognition's as an individual, social and planetary society. edit: I am going to have to go to the begining of the series and count my blessings

Thankyou for explaining the fundamental building blocks of a neural network in a way that's easy to understand.

this might be the best video i have ever seen on youtube to date. thank you so much, this was so informative and i absolutely loved the models! Thank you so so much, please keep doing these!

Wow. This is brilliant. You guys are awesome. Thanks everyone involved in production. 👍🏿

You are a great thinker and equally good presenter. Thank you for sharing.

Another incredible explanation. I’ve got to say, the more I learn about filmmaking the more I appreciate your videos - the use of music is truly a step above any other educational content. A million applauses.

Wow, you are good at teaching. Making obvious the nonobvious is extraordinarily complex.

Video is absolutely awesome, only thing that seemed missing to me, is difference between neural network and another well know mathematical models (relational databases design and analytics).

I'm from accounting field. Randomly got this video from Reddit. I have to tell you, your explanation and way of presenting is not just good, it's interesting too.plase continue doing what you are doing.

Thanks for beings a point in my neural network... I appreciate your genius 🎈❤️

Just a remarkable video. The most clear explanation of NNs I’ve ever seen. Really well done.

Like Graham Todd said in his comment, your vids always deliver waves of "Aha!" moments that join previously distant or incoherent bits of our minds. I hope these vids reach as many schools as possible, kids would benefit immensely and so the larger society of tomorrow. Thanks 🤘

These videos are so extremely good! Thanks for making these!

Just watched this now, and this explanation is absolutely amazing. Please make more videos about ML :)

the best explaination ive ever heard thruely intriguing

Thinking of a NN as partitioning a perception space... just awesome. Thank you so much for this beautiful way of thinking about it.

Absolutely amazing video! Thank you for making it!

Mind-blowing explanation! Just too overwhelmed by the amount of imagination and skills you’ve put behind this gorgeous show! Subscription done right away. Looking forward to have more in the days ahead.

Just awesome how you managed to explain a complex topic in a simple way!

Very nice. Not so sure about the folding paper, but the visualisations really show how the coordinates are transformed from the complicated manifolds to the relatively simple clusters, and that visualisation can possibly help guide neural network design. Shame you weren't able to answer the final question, ha ha ha!

This is the most helpful explanation of neural networks I have yet found. I now feel much more confident in my understanding of what is happening within such a network and the way in which added layers function. Thank you!

What an excellent video.

Dude , this is excellent work, you have explaned the secret of Neural Networks in a really beautiful way. It takes real understanding to be able to distil the information in such a beautiful way. Thank you s much for this.

very underrated channel... Amazing work !!

Fantastic video.

Excellent video!! Thank you!!

This by far the best explanation of Neutral Network I ever seen in my life very simple but without compromising technicality.

The way you explain such a complex concepts is mind-blowing. thnak you so much for teaching us.

I have been going through the math behind neural networks for some time now. My goal was to form a good intuition for how they work. I understood some of it but still had lot of doubts. This video cleared all my doubts. It is an absolute gem. I think someone who is already reading about neural networks would make the most out of this video. This is the most intuitive video I have seen on neural networks. Your script and narration was perfect. Great job and I hope you keep making similar videos

Great work

👌👌👌 awesome explanation and visual representations…

Hi, your pictures and explanations are just too good, clear and coherent and made sense. That's how things should be explained. I want to cite your pictures and some of the wording. And I have no problem mentioning a youtube link instead of a textbook even though its not peer reviewed. I was wondering should is it ok if I use link in bib or you have a proper article written on it.

Thank you for this video, it opens your mind to a lot of things

What a wonderful explanation of such a hardcore technical concept. I respect and appreciate the hard work you did to explain this concept easily. That paper analogy was best!

This video cemented my understanding of neural nets, Thanks 👍

best explanation that i see about neural networks

Amazing video! I love how you explain things intuitively. It would be amazing if you did a video about gpt4 since it can sort of "reason" and memorize the conversation.

This is not just a great explanation and easy to follow, but also just so soothing

Holy crap... That was an amazing video!

Amazing video! Really appreciate this, great work :)

You've done well to cover an area of the explanation which is rarely done properly. Most of the time its all about the application of the maths, and such, rather than the intuition side of what the network is trying to do. Nice vid :)

Great series

This video is a much watch for the so called "machine learning experts"

Well done. Thank you

amazing work

The legend is back!

I think there is a typo at 5:15. Active and inactive should be flipped for any 1 line drawn for consistency. If the circles represent 'active' data points, the active-inactive labels for the slant line at the right should be flipped.

The beauty of this explanation made me smile

this has done more for me conceptually than actual ai classes i've taken. thank you.

Thanks for sharing!

That was magnificent, I mean really really really super breathtaking.

This is the most beautiful, deep presentation on neural networks I have seen. This has given me another depth of understanding. Thank you so much. I would love if you could provide a reading list for this series, to take my studies further.

thank you so much, finally have a better understanding on how neural networks work

Amazing job!

If someday I prove P=NP, I'm donating half to you. This channel is that inspirational to me.

Great video series. Definitely learned some valuable insights especially in the way that lead us to deep learning. Also you gave great intuition of the concepts that are embedded in learning concepts, neural networks and finally deep learning networks. However I have have a not trivial addition to the video (although you kind of mention it in the previous video): A very fundamental building block inside of a single neuron is it‘s activation function. But the important thing is, that this function is non-linear and differentiable. Given that, the deep NN can transform the input space such that the output space can be separated into distinct regions (like we‘ve seen in the example of recognizing hand-written digits). In contrast a deep NN that only has linear activations is not having a chance if the problem gets more complex, as we see in the example where the input space is not separable by simple sections (like lines or hyper planes). Thanks a lot for your time you put into this series. Hope to see a continuation if you see fit ;)

incredible explaination - thanks so much

great video

Amazing video!

Simply wonderful, Worth watching for all, Freshers, new comers, experienced persons etc. This video reminds me of a quote. "When something can be read without effort, great effort has gone into its writing". Same is true for this video as well. You have lived NNs. Watching for many more such videos, especially on basic CNN model.

Wow, this is amazing

I now have a new understanding of neural networks thanks

Loved it! Amazing video :D Thanks for sharing!

Your intuitive explanation of why we need more than one neuron using graphs and folds blew my mind :D As someone who has worked in this field for over 6 years now, I must say I am super impressed :)

Great explanation!

One of the most clear explanations I have seen. Very well done! Liked and Subbd.

Nice! Thank you!