Convolutional Neural Networks Explained (CNN Visualized)

This was a great explanation. Thank you. Now I feel like I can actually understand some other videos which dive a little deeper.

The visuals were dope!

Thank you for this video! It and others helped me pass my exam! :D

how does it become size-invariant?

Dude wtf, this video is absolute gold. I have read books and papers by expert in the field and I have also talked to ML experts and I can confidently say that this video did the absolute best job at breaking down all of these Conv Net concepts! The visuals with the explanation was extremely helpful.

Thank you very much for creating this masterpiece.

Incredible explanation. Love your way how you work

Amazing video! well-expanded and visually captivating 👏

How to define initial number in the filter?

After watching bunch of videos this just clicked and everything just clicked, thank you for this wonderful video.

Thanks!

All good, but you need to slow down.

Great video! Way more helpful then another online course I am taking from Carnegie-Mellon!
That link to the interactive digit recognizer is dead... Has that been updated or is it just not available? Thanks!

I thought flash was the fastest man alive ,guess i was wrong

really nice work mate!

Wow! This video is so great! Rarely do I see such a clear visualization of the topic!

I dont know how this content is free but thank you so so much!

THIS IS SO GOOD!!

Too few views for such great video

insane job bro !!

these visuals are insane ??

best video!

You explained so much in such less time in such simple words. Huge thanks!

great !!

You talk way to fast

Great content, quick question, can we specify a specific edge detector to be used for the kernels? or does the convolutional layer by default has one? if so, what's the point of having multiple filters?

Danke!

Merci !

visualizing it makes so much easier to understand. Thank you

my brain is exploding but in a good way, thanks for this!

Brilliant explanation with Incredible animations. Really sutisfying to watch, when you see the process and understand it.

How does CNN become rotation and orientation invarient? Can this be understood with a visualization using few images that rotation/re-orientated and then their output followed through the layers and architecture of CNN ?

This is next level explanation

No seriously , so much efforts for this video are clearly seen
1. Visuals
2. Animation
3. Audio
4. Explantion
5. Clarity

really really appreciated ✨✨

Will hit more then a Million views for sure

I saw the video a second time but at 0.75X speed. way too better. so actually the information provided are decent and well structured, but the speed of presentation along with the noisy cuts make the experience difficult... good work though!

Such a great video but "luminance 👹" lolololol

Awesome video ! I usually watch videos on ytube @ 1.25 or 1.5 speed but this one deserves 0.75 in order to catch all the precious bits of information provided. Great production quality too. Thanks

you should speak slower.Beside that , very good video

Really needed this visualization to actually understand weeks' worth of university lectures...

Great video!

I wonder how such calculations could have been carried out the first time when the computers weren't so advanced. The pioneers of AI are such brilliant people 🤝

Thankyou for the brilliant explanation with the thoughtful graphics.

Hey Futurology, You saved my A** ...Love from Ethiopia!

amazing video and amazing visualization

Can someone explain the dimensionality of going from the Pool1 to Conv2 layer? I end up in 4D space.

WOW !!!

Awesome explaination sir, thank you