It's fascinating to learn about how our brain works by using our brain. Does the brain understand itself? Do we understand the self separately from our own brain?

Thank you for this video, the explanations are crystal clear. Not only did this make me understand the cross entropy loss better, but it also made me understand quite a lot of the theory surrounding entropy.

Thanks!

"HELL - Is other peoples kitchens" - not JP Sartre

I'm disappointed you forgot Softmax!!!🥺🥺🥺

Bro just need a game engine. To do all of that.

Thanks for the helpful and to-the-point video. Btw try using izotope mouth declick or similar for your audio post.

Thank you so much. It is very useful for me, the dynamic analysis presentation made me feel clearer than the graph of papers, and let me further understand the HH equation. I would like to ask if you have any plans for an update for other neuronal models analysis like FHN model in the future video? Or make discussion of more bifurcation or fast-slow dynamics?

Thank you so much ❤😊

Im revisitng this video every day )

Забавно, что я, не будучи никак связан (опять связь!) с этой тематикой и лишь на основании разрозненных популярных сведений об исследовании роли гиппокампа в пространственном ориентировании, пришел к собственной гипотезе о том, что тот же самый механизм может (должен!) быть задействован в установлении абстрактных связей, например, связей между словами, математическими объектами и т.п. Оказывается, что это уже исследуется и получает подтверждение!

Sick tattoo bro 🤯

Is this fractal behavior?

As an electrical engineer, this is fascinating.

Masterpiece

Wow, you are just so cool. I loved this! Thank you for breaking it down so brilliantly.

So does n_infinity depend on V? It must because otherwise n would just approach a constant and there would be no dynamics... But none of your equations suggest that, so I'm confused.

what happened to n's 4th power?

Welp, the noble prize is now a joke if it supports ai

Hear me out guys, backpropagation algorithm is a very hard concept to graps when you are new to this. But once you get it, you will understand the whole AI world and eager to explore more and more. My advice is sit down on a table and try to implement it from scratch.

As a medical student who loves and misses a lot mathematical thinking and is gravitated towards research and this kind of rationale, this video was a true delight to watch

"Boltzmann machines with unconstrained connectivity have not been proven useful for practical problems in machine learning or inference, but if the connectivity is properly constrained, the learning can be made efficient enough to be useful for practical problems.[4]"

kzbin.info/www/bejne/gpu0ooKEqrt9mLM

Hello Artem, your videos are great! If one does not already exist, could you make one on neuromodulators and their role in synaptic plasticity and how the components of the Limbic system use neuromodulators do Non-Hebbian learning (i.e. reinforcement leaning) of long-term goals? Thank you for your exceptional content!

Fantastic video

何か使っている？見えません

My brain is learning about my brain learning right now.

If there was a multiple like button I would have clicked it 20 times

This is one of the most sexiest tattoos

Could you do another video on the added complexities of biological neurons? E.g. I'm really curious as to what the serotonin/cannabinoid (especially this one as I heard it is used to transmit data backwards)/opioid/etc systems do. Especially from a computational point of view.

This is an amazing video, but I feel like you tried to do way too much in so little time. I already understand Fourier Series, the Fourier Transform, complex numbers and their polar form, the representation of functions as vectors, and convolution, all pretty well. I was able to watch this with no pausing and I could teach this to someone now, made complete sense to me. I imagine someone who knows nothing about any of these things would be BEYOND lost and pausing every 5 seconds, even though you acted as if your explanations would be enough to go “okay, moving on”, and they just really weren’t

Thank you algorithm! Insta sub

Wonderful work!

n

that was amazing ❤❤❤

LMAO, What did I just watch ?

Thank you, a lot, for your explanation, Artem Kirsanov!

Phenomenal video, as always! You do such a great job of directing the subjects, and the animations are amazing!! Keep up the great work! It's really inspiring.

This is the absolute best video I’ve come across that explains the concepts of entropy, cross entropy, and KL divergence in the most ground up methodical way, great stuff

You guys ever take psychedelics and see the nth dimensional torus?

science catching up to occult knowledge

This is the best channel on the internet

Truly amazing video! Really helped better understand Hopfield networks :)

What a very nice explanation of action potential etc! This video blow my mind

español pe😭

ekilibrium 🗿

I've recently found your channel and it is amazing, super inspiring in terms of the quality of the animations and presentation style - very cool!

been search for boltzmann machine before, and I think that is the first one I can totally get the beauty of it. Amazing content!

Damn the amount of info I learned in 6 minutes is insane

So theoretical! When you actually implement this algorithm in C++, it becomes more clear how variables should be adjusted to minimize loss.