Convolutional Neural Networks Explained (CNN Visualized)

Рет қаралды 187,121

Күн бұрын

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[Interactive Number Recognizer]www.cs.ryerson.ca/~aharley/vis/
Throughout this deep learning series, we have gone from the origins of the field and how the structure of the artificial neural network was conceived, to working through an intuitive example covering the main aspects and some of the many complexities of deep learning.
Now all these videos have only been focused on one type of neural network, the feed-forward network. The focus of this video then will be to initiate discussion on another very popular and important neural network architecture - the convolutional neural network!
00:00 Intro
00:36 Convolutional Neural Networks Explained
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Soundtrack ➤
♫ 00;00 "Clair de Lune" by RELAYER
♫ 00;37 "Sun" by HOME
♫ 03;04 "Flood" by HOME
♫ 06;20 "Hold" by HOME
♫ 09;39 "Resonance" by HOME
♫ 10;04 "June" by Aire Atlantica
Sources ➤
[1] • CNN: Convolutional Neu... (Neural Network That Changes Everything - Computerphile)
[2] • Inside a Neural Networ... (Inside A Neural Network - Computerphile)
[3] • Convolutional Neural N... (Convolutional Neural Networks [CNNs] Explained - Deeplizard)
[4]ujjwalkarn.me/2016/08/11/intu...
[5]towardsdatascience.com/intuit...
[6]towardsdatascience.com/gentle...
[7]towardsdatascience.com/types-...
[8] • Recurrent Neural Netwo... (Recurrent Neural Networks [RNN] & Long Short-Term Memory [LSTM] - Brandon Rohrer)
[9]towardsdatascience.com/the-mo...
[10] • Variational Autoencoders (Variational Autoencoders - Arxiv Insights)
[11]www.cs.cmu.edu/~aharley/
Producer ➤ Ankur Bargotra
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Пікірлер: 147

@OptimisticFuturology 3 жыл бұрын

Want to learn more about the Technological Revolution? Watch our playlist here: kzfaq.info/get/bejne/e7SHptKIz-CuhIU.html - ALSO - Become a KZfaq member for many exclusive perks from exclusive posts, bonus content, shoutouts and more! subscribe.futurology.earthone.io/member - AND - Join our Discord server for much better community discussions! subscribe.futurology.earthone.io/discord

@masternobody1896 3 жыл бұрын

talk about future of computing make a 2 hour video

@masternobody1896 3 жыл бұрын

how bio cpu or quantum cpu can change the world

@masternobody1896 3 жыл бұрын

talk about the future of pc, cpu and light speed cpu and more

@ehsamproduction 2 ай бұрын

the link for Interactive Number Recognizer is dead :(

@letmedoit. Жыл бұрын

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

@AICoffeeBreak 3 жыл бұрын

Wow, the production value of this video is so high! The explanations are awesome too! Keep going. 💪

@raghuramanvenkatesh2882 2 жыл бұрын

The sheer production effort went into this video blows my mind. The visualization aspect is just too good to be true. Thanks.

@supermind-vm9dx 2 жыл бұрын

This is hands down the greatest video I've ever seen explaining neural networks. The way you explain it is so simple and the visuals are astounding! You absolutely knocked it out of the park with this one!

@ju1042 2 жыл бұрын

This is one of the best explanations and animations about deep learning!! Congrats for the amazing content!

@RoboticusMusic 3 жыл бұрын

One of the only good explanations of machine learning on KZfaq, thank you.

@anuragdeyol4586 2 жыл бұрын

Amazing explanation, brilliant production quality and sleek animations. Hands down, one of the best places to get a high level view on machine learning topics available on YT. Thanks mate for the effort.

@migi9402 8 ай бұрын

Well, I've watched 4 videos to understand CNN, and I can say this is the shortest and clearest one. Thanks, man!

@shaheenrafiq5974 Жыл бұрын

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

@rajatsharma854 2 жыл бұрын

The visualization is simply phenomenal. Amazing job!

@newtonpermetersquared 11 ай бұрын

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.

@social.2184 Ай бұрын

U got yourself a new subscriber. I hope this channel blows up very fast.

@CharileYou Ай бұрын

the best video for CNN i could ever find, seriously

@ilducedimas Жыл бұрын

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

@user-ri3zy5pl9u Жыл бұрын

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

@rissalatahmed6719 6 ай бұрын

What an ABSOLUTE BANGER! Shukran Habibi

@ksrikar6668 3 жыл бұрын

U are seriously underrated bro. Great content and quality .❤️👍.

@rebeccarpwebb4132 3 жыл бұрын

Jonkeen has a channel u should look up some of his older videos

@ksrikar6668 3 жыл бұрын

@@rebeccarpwebb4132 name of the channel?

@rebeccarpwebb4132 3 жыл бұрын

@@ksrikar6668 jonkeen and bestdamnpodcast.... Lots of videos . this video showed up under his . i find really good channels from his

@rebeccarpwebb4132 3 жыл бұрын

Its small lil channel no commercials. This guy is just consumed with his research and i find it fascinating and lots of other good stuff to look up

@albres4478 Жыл бұрын

visualizing it makes so much easier to understand. Thank you

@deepbhadja5730 5 ай бұрын

THE PRODUCTION QUALITY. The ratio of it with the views and subscribers is WAY off. This deserves views in millions. Not to mention the way these complex concepts were explained, this is the best video I have ever seen for the explanation of CNNs. Hats off.

@alexobzor Жыл бұрын

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

@TheZenytram 3 жыл бұрын

dude this video is ultra high quality. you are criminally under sub

@jacobjonm0511 Жыл бұрын

Question: at 6:21 if you have 16 filters for the next layer, given the fact that you have 8 inputs after max pooling, then the dimention of the feature maps should be 10*10*(16*6) rather than 10*10*16? How do you combine the outputs of the 16 kernels *6 inputer features to get 10*10*16 features maps? In other words, when you do the convolutions on the original image, you get 6 feature maps outputs because every kernel is applied to the orignal image. But after maxpooling, you have 6 images and applying 16 kernels on them should results in 6*16 feature maps.

@Eren-zl2uw 4 ай бұрын

I can not put into words how usefull this video is for visual learners. A big thank you!

@sen5575 Жыл бұрын

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

@Maya_8 Жыл бұрын

Thankyou for the brilliant explanation with the thoughtful graphics.

@luisluiscunha Жыл бұрын

I just want to add to what folks are generally saying: hands down one of the best videos about CNN's on KZfaq

@Rahul-qn7ft 2 жыл бұрын

beautiful explanation with visualization - easy to understand

@dmytrokulaiev9083 2 жыл бұрын

This was extremely well done

@SpesMagisteriiGradus Жыл бұрын

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

@zohebahmad9633 Жыл бұрын

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

@rafafdz 2 жыл бұрын

Congrats for the animation dude! One of the best visualizations I have seen on the topic. The vaporwave music was also a nice touch. By the way, which software do you use to animate this?

@TheLegend_. 2 жыл бұрын

Best Explaination i found wow, keep it up, so easy to understand thank you very much i got a exam about that tomorrow!

@Larock-wu1uu 4 ай бұрын

This explanation was outstanding!!!

@TheLunkan22 3 ай бұрын

one of the best youtube videos ive ever seen, big ups

@francescoprimerano6018 2 жыл бұрын

excellent video. Just one thing, as far as i know if you convolve an input image with 3 channels and a filter with the same number of channels, you end up with a feature map of one dimension instead of 3. Convolution happens for each channel between the input image and the filter and then you sum up the values between channels at every windowing step

@eurekayana7870 22 күн бұрын

Mind blown 🤯. Love this explanation. i am subscribing just cause of this video. This is the the kind of fast and easy to understand video i was looking for

@tanmaybansal1634 7 ай бұрын

Wow, the intuitive explanation and great production quality of this video makes this one of my favourites that I have watched on this topic 🎉

@theencore398 3 жыл бұрын

this was really some awwesome level content filled to the brim with knowledge. i always wondered what those mesh like representation actually meant, this was really informative and layman friendly. moreover, i also come to wonder how does those resolution upscalers work, i mean they literally are making pixels and details out of thin air ( and memory maybe, idk its just a asumption on my side), but it will be fun knowing a lil bit more about it.

@OptimisticFuturology 3 жыл бұрын

Thanks for watching! Upscalers typically use autoencoders (inverse graphics networks), we do plan on making videos on these networks and their applications in the future!

@theencore398 3 жыл бұрын

@@OptimisticFuturology that's just great, and you're welcome.

@user-br1fe8de1e 2 ай бұрын

this explanation is overpowered

@jacobjonm0511 Жыл бұрын

really nice work mate!

@arise544 11 ай бұрын

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

@rajeshpatil1960 Жыл бұрын

Awesome explaination sir, thank you

@rishipatel2221 2 жыл бұрын

Really good explanation!

@bemshimapeter78 5 ай бұрын

Man, your work is Phenomenal!!! Thanks💯

@bean217 9 ай бұрын

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

@SuperNecroticOH Жыл бұрын

THIS IS SO GOOD!!

@SeanB.718 11 ай бұрын

Amazing video! well-expanded and visually captivating 👏

@Nightscape_ 5 ай бұрын

I sure am looking forward to the next episode in the series.

@apreslavague1557 Жыл бұрын

insane job bro !!

@krishnaphanindra1841 4 ай бұрын

10 minutes of pure bliss!

@therealtuyen 11 ай бұрын

Incredible explanation. Love your way how you work

@TrapperRasta 3 жыл бұрын

🙌. Great Watch looking forward for next update my friend..

@ehsankhorasani_ 3 жыл бұрын

That's damn awesome. the visualizations are badly awesome

@idrissjairi 7 ай бұрын

Great video, thank you so much, your efforts are highly appreciated!

@SaltyYagi 4 ай бұрын

What a great video! Great production too! Let's get iiiit!

@xXMaDGaMeR Жыл бұрын

amazing video and amazing visualization

@mfnomad815 2 ай бұрын

Spectacular video!

@swarnodipnag 2 ай бұрын

This video needs to be appreciated 🎉❤

@spicystrike5088 Жыл бұрын

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?

@hchattaway Жыл бұрын

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!

@enchanted_swiftie Жыл бұрын

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 🤝

@julianpbt7942 6 ай бұрын

Great video, thanks so much!

@quanruirao6390 Жыл бұрын

Thank you very much!!!!

@directedbyshawn Жыл бұрын

Great video!

@LL-oj3cs 2 жыл бұрын

i love the BGM so much❤️❤️

@zukofire6424 Жыл бұрын

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

@Piccadilly_ 10 ай бұрын

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

@shinestargaming 3 жыл бұрын

Thank sir making video you are doing great job

@ismbil 2 жыл бұрын

How do you connect 400 pixels of high-level features from last pooling layer to the input of 120 tensors of Classifier network ?

@ismailelabbassi7150 6 ай бұрын

great demo thank u so much

@tompouce9 8 ай бұрын

Great explanation!

@ClemensPutz-ist-der-beste Жыл бұрын

Danke!

@Waliul_The_Wall-E 10 ай бұрын

The visuals were dope!

@Animelover-oo7cz 2 ай бұрын

THANK YOU SO MUCH

@nv3796 Жыл бұрын

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 ?

@jvstbecause 2 ай бұрын

Thanks for the recommendation on brilliant!

@ayyoubm 8 ай бұрын

Next level explanation

@CurtlyTalks 3 жыл бұрын

This seems like a product of a lot of work. It's quite good, except for the speed. Please consider slowing down, for everyone to fully understand the content.

@NK-ju6ns 3 жыл бұрын

It looked like a holly wood movie.. Great explanation.. I totally liked it..

@nothj Жыл бұрын

great !!

@autumn_moon Жыл бұрын

07:28, how did the feature maps count jump from 6 in Pool1 to 16 in Conv2 ?

@bangtantv577 4 ай бұрын

i tried accessing the adam harley page but it was showing tht i am not allowed to access the page..where else can i access that resource

@cristobalatria8481 4 ай бұрын

Really thanks

@sudharshanchakravarthy7199 Жыл бұрын

best video!

@gaitondebhau3378 3 жыл бұрын

Great 🔥

@evr0.904 Жыл бұрын

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

@BooleanDisorder 3 ай бұрын

I love interactive tools like that number recognizer. Do you know of similar ones for more cnn's and/or other architectures? Text, image, any modality.

@mohsenmazandarani7506 3 ай бұрын

Amazing man......

@tymek4238 6 ай бұрын

thank you

@OpeLeke 2 жыл бұрын

if you created a course on this topic, i'd pay for it

@MauriFont 4 ай бұрын

Great video but the second convolution layer is poorly explained. If you have 16 kernels, are those applied to each of the 6 previous images? Then you counting of pixels are wrong but if not how do you produce those 16 5x5 images?

@blingblinghotgirl 11 ай бұрын

How to define initial number in the filter?

@user-xu5eu8po7f Жыл бұрын

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!

@ozilmth 6 ай бұрын

This is how to compress an image how can we uncompress it i mean the reverse of pooling?

@sunnyjayaram2289 Жыл бұрын

these visuals are insane ??

@zfolwick 3 ай бұрын

I cant access the interactive website but other than that this was really good

@marvin47 7 ай бұрын

Are you sure that relu was used here? Where is the source for this?

@interestingWorld3.0 7 ай бұрын

Please make a vidio on predictions crack, joints, corrosion in vidio of any mechecnical part using CNN and also make rectangle box around any fault like crack.