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my brain: "Is that cookie from the Cookie Clicker?"

the music is very disturbing

Thank you

it's impressive how you can abstract this idea to a simple bakery example, this must have been a tough work to put it all together. Congrats, this is outstanding.

Thank you; very helpful. I'm pleased to hear at the end, you duck no issue. Quacking good.

Beautiful video! Thanks for making it!

Thank you!!

Please start a patron page we need more custom lectures from you my friend.

I'd pay real money to watch this video. This is amazing. It's like switches clicked in my brain watching this video. Thank you so much

does this explain why F{F{x(t)}} = x(-t)? ive been struggling with that

Going by your explanation of convolution (Which to me was best intuitive way I found)... I request a similar explanation of Fourier transform for f & t domains.

I got the gist of it first time... Awesome explaination...

Am I hearing Persona 5 soundtrack?

Finally someone that sees potential in this tech! I’m making an event camera! I’m amazed to see not many ppl talk about it a lot…

This is honestly the best explanation I've found so far.... and I've been searching for a while. Amazing video, thank you so much

I've always (since 3b1b's video) thought about convolution as a measure of the correlation between a data stream, and some target sequence that you're looking for. Imagine holding some shape up in your field of view and scanning around. Whenever that shape perfectly eclipses some other shape in your environment, you get a high correlation value, and low everywhere else.

This is a fun way to describe conv. I'm hungry for cookies now.

Understanding that infinite vectors representing function values are pretty much the same thing and doing these kind of matrix-function / matrix-vector operations is so useful and helps understand many problems I first came across it in quantum chemistry with the bra-ket notation, same effect there, it makes everything make sense Good video

Great explanation by bakery example.

Thanks, excellent presentation.

Excellent video on convolution! Maybe could use more explanation when talking about dot products and stuff.

Many hours put into understanding this concept during my undergraduate days, watching your 10-min video now provided far better understanding. Simple and to the point explanation. Thanks, and please keep updating with intuitive teachings. Great work !!!

Really good video

Great video, finally made the whole concept of inner products of functions click!

I watched two other videos on convolution prior to this (one of them being the fairly notorious 3Blue1Brown), and I think this helped me understand the concept of convolution the best. It just seemed like it stripped away all of the (in my opinion) more challenging vocabulary, and brought it down to layman's terms. Thanks for sharing!

Outstanding explanation! Thanks

Thank you for making this.❤

This is the video that lighted the bulb 💡! Much appreciated keep going ❤

For anyone confused: at 7:36, each term in the c vector is really a summation. The first term, for example, should be read as "sum, for t values 0 through 6, of the expression: d(t) x b(-t)" where the x is a multiplication symbol. The second term should be read as "sum, for t values 0 through 6, of the expression: d(t) x b(-(t - 1))." And so on.

Jo bhi hai aacha hai. 😂

can you make video on FFT as well ?

What do you use to make your visual displays

This is so good, so easy to understand, how come only 18 comments ? Should be 100+ positive comments, I wish more people find out this video

Very good.

Cool explanation, thanks

Excellent 👌

Awesome video

After a while, the music turned into keygen music.

nice video dude. I've watched it many times.

One thing that I had found because of this video is that while the Rotation matrix inserted multiplication's value changes according to the relative angle between two vectors, Reflection matrices inserted ones change its value in a way that is more related to the definite angle(0, 45, 90, ... degree) wrt the coordinate system. This might brings up some intuitions or different approach about why does the Pauli matrices are constructed out of these reflection matrices. After all the other two directional observables out of 3-dimension needs to be constrained by another 1 directional observables.. I guess? Still vague but rewatching your video gave me another subject to dive into

Best and Best video Love you So much❤

Great video. Just what I was looking for. Do you know where I can purchase an already assembled and ready to go hexapod. I'm partial to the 3DOF and like the Freenove you demo'd. Thanks!

Where do you make the animations?

Wow😮...really get the idea

I have never seen the output on the left in LA, the equation is usually written Ax = b in most literature

is it like discrete convolution of pixel but in time dimension?🙃

some might say it's distracting, but the selection of back ground music was aesthetic and well reconciled.

This guy contents need more attention

Great explanation. Thanks!

The beginning killed me😂😂