Tutorial 21- What is Convolution operation in CNN?

Hello All here is a video which provides the detailed explanation about the convolution operation in the CNN
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[@sanjayn5201]

Man, you are THE best teacher I have ever met in my who can teach these concepts clearly, cheers!

[@sunnymoon5262]

Man! I love this white board explanation thing.Most of the people just use animation or slides to elaborate stuffs.But you do it on a white board.I fell so comfortable and concentrated while watching every tutorials of yours because of this!

[@mdazhar6804]

Please please keeps uploading more videos for deep learning concepts. we can't get such a awesome explanation anywhere else. salute u man.

[@narayanjha3488]

Finally i got to know the real situation behind the CNN thank you so much please sir implement this cnn to m eagerly waiting

[@sandeepmehta7794]

Thank you so much .
You have imbibed the knowledge so beautifully that I share to each of my family members .
Love to see you educating us .

[@himanshuvora1980]

Thanks Krish, it is really need to understand how exactly the hidden layers/ filters work. You did great job to explain in detail with ease. I seen other videos where they are tyring to depict the hidden layer, but I couldn't understand. You really narrated in good way for beginners.

[@miten.p]

Glad to see what I already studied in college is actually used in actual world...btw nice explanation sir...

[@sanketnarkhede2585]

Thank you so much sir, your way of teaching is really impressive.Clear with all my douts.

[@kumarssss5]

In one word - extraordinary !!!

[@ricardocaballero6357]

Buddy I found your channel yesterday lucky me that I was finally able to understand multiclass metrics and now this is great too.

[@abdultaufiq2237]

No words for this indepth understanding ....

[@madhu1987ful]

What an awesome explanation of the concept. Hats off 👌🏻👌🏻👌🏻

[@mdazhar6804]

Hi Krish , I think by mistake u told the 0 to be considered as white and 255 as black. But typically zero is taken to be black, and 255 is taken to be white.

[@anshulrao2373]

Yeah I was confused for a second xD
Had to google...

[@manikantansrinivasan5261]

just a convention, no hard rule

[@nriezedichisom1676]

Came here to say exactly this

[@adamadam358]

Thank You, very clear explanation.

[@healthylivingstar]

Thank you Sooo much. I was seraching to understand what CNN is but didnt get. You have excellent teaching skills.

[@amritabais162]

Thanks for explaining the concept so nicely

[@amarjeetverma6965]

That's easy explanation.
Thank you

[@MrFreemindonly]

the old good days. thank you Kirsh. I started from here :)

[@surbhibarnwal8431]

The way you teaches is just more than awesome.......you should become prof. in iit

[@maxotaur6267]

Excellent explanation. Made a complex issue seem relatable.

[@VijayaNarkar]

Very well explained!!!! Thank you, Krish Naik

[@pravinandhale]

Thank You ...very nice explanation

[@fadsmfawopefaw]

Great explanation. Thanks Krish!

[@ariseandshine856]

Wonderful Lecture you are giving to us sir...

[@JaiganeshJai]

Nice video on Convolution !

[@jitenderantil2279]

Salute you,Sir.

[@sandipansarkar9211]

Great explanation.Thanks Krish

[@tahouramorovati8740]

perfect video!

[@ahmedelsabagh6990]

Great and simple

[@mahalekshmianil2691]

Such worthy video.

[@saranzeb6786]

Great explanation

[@vishaljhaveri7565]

Thank you, Krish sir.

[@zerocel]

great!

[@brindhasenthilkumar7871]

well explained...

[@ujjwalkapil09]

Thanks🎉

[@pranjalgupta9427]

Nice explanation 👍👏

[@AmitSingh-nr8jz]

nice work Krish, your tutorial on deep learning is awesome ..
one minor correction edge detection filter (sobel filter) or blur filter (gaussian filter) do not change input matrix size at output, matrix size is reduced by POOLING method

[@virajpatel4050]

Thanks!!

[@jacksonsunny1261]

Krish Sir, I'm an AI master's student at the best Engineering University in France. I feel that you teach better than the professors here. :)

[@16876]

excellent video! how do we know which filters keras actually use when we define all other parameters including # of filters?

[@xXMaDGaMeR]

amazing

[@sonamkori8169]

Thank You Sir

[@winviki123]

Superb
Please make videos on LSTM too

[@sagargauda_flutist]

Sir, It would be a great help if you make a video on PSO i.e, particle swarm optimization technique. Highly appreciated your efforts. Thanks in advance.

[@louerleseigneur4532]

Thanks Krish

[@debalinaghosh6404]

Thank you Sir

[@merveozdas1193]

You are the first :)

[@kammelna]

Thanks man for your valuable effort.
In your example here you used pictures to explain the input if it is black and white it is going to be 6*6 or 6*6*3 if it is multiple color .
If you used a video frame how it is gonna be ?

[@PopMusicFilms]

this guy is a better teacher than my university professor. Jimmy Ba at university of toronto is terrible

[@vidhuniranjan3103]

Thanks alot sir. Really helped.
Owe you some marks

[@RAZZKIRAN]

please do one video on how CNN works on text classification,
CNN on images understood, but on text need more clarity

[@kikyou8349]

Hi sir i just want to ask if we need to divide the obtained number by the kernel pixel size i see some people divide after the addition so can you please explain which one to do ?

[@pankjain25]

Grayscale image can also be m x n x 3. In this case image is not 8 bit it becomes 24 bit grayscale image.

[@spider279]

How cannot be subscribed to your channel with your wonderful videos

[@swaminathanteamsak7420]

Is the filter always a square matrix like 3*3.. how do we choose a filter dimension?

[@dipinanda1]

Hey Krish...Have you not covered Loss Functions and Adam Optimizer in this series? Sorry, if I have missed it out.

[@prernaawasthi7379]

Please explain cnn for text classification.

[@ghost2005]

The teacher 😍 The course 🤡

[@afsheenmaroof6209]

What is the creteria of choosing the filter??

[@MmM-iu1sz]

How many filters are there and how the value of 3x3 is determined. Nice explanation

[@sarikondasaikrishna2476]

how we got values in filter. Is it random values and how to decide those values.

[@chitrakshadusane7626]

do we have to decide stride by ourselves?

[@king1_one]

how did the filter values came ??

[@satya8411]

Sir what colour do negative values denote?

[@cuihaoify]

At 1:13, "so if I want to classify this image, I will write 4x4 pixels.." what does this means?

[@Areeva2407]

Please also include solved examples

[@upasanabhardwaj6140]

please explain CNN Algo for text classification

[@saisamarthgaming8585]

[@MohitKumar-dy3nf]

Still not able to understand how those zeroes converted into 255 after applying min max scalar

[@amjad4839]

Please also clear me that how we considered 6×6 pixels in first step ? How we will know to give it?

[@learn7710]

how you changed these side values to 255

[@ronyjoseph7868]

How to find filter matrix

[@amjad4839]

Hello sir ! I want to ask you that RGB layers which u told us have 6×6×3 pixels .it's means that R have 6×6 ,G also have 6×6 and B have 6×6 pixels separately , am I right?

[@punithpuni927]

Yes, correct

[@pavanmanur9149]

Sir we doing project named " classifying bite mark detection of dog ,wolf,fox" we are using CNN model .please help us how to train images and what feature extract to be used.please sir do the nedd ful

[@pranavkotgire8892]

Hello Krish, isn’t it correlation which you have explained? If not then what is difference between correlation and convolution?

[@sunijaprabhakaran7120]

Please reply

[@sabahoda4262]

What makes your hand this tanned sir?

[@huojinchowdhury3933]

Why we need to normalize pixels?

[@compositingwithkushal]

But how to get that filters? 🤔
I understood the math working aftering applying filter. But i didn't understood on how to make filters.

[@owaiszarinkhan1051]

In 4×4 how to get the value of 255?

[@kunalsahu4355]

The dislikes are from other deep learning teachers

[@minakshiboruah1356]

no bcoz after so much length he has not explained the transpose or even mult. with all being 0

[@masthanjinostra2981]

Pls don’t generalize it, few people r simply going to like and dislike the videos without watching.

[@BlogWithPritam]

alert("Hello MC");

[@aashirbadmaharana2666]

why it was 1 2 1 and -1 -2 -1 ?? Can we take different values like 4 5 4 and -4 -5 -4? Then what will be effect observed?

[@maseedilyas203]

The values in filter matrix are randomly initialised by CNN model .. And gradually the valued get updated through back propagation similar to weigh updation .

[@brown_bread]

Black is 0, white is 255. after normalization, black remains 0 and white as 1. [refer, 4:03]

[@pragati_verma8163]

Hmm

[@saisurapureddy5361]

Minmax scaler means😢

[@karahanyosan2497]

휴 다행히 영어로 하네

[@159_vivekpatel5]

Now I can die peacefully.

[@saurabhsingh854]

Sir as far as I know 0 is for black and 1or 255 is for white .but your theory is just opposite .

[@velumaniramasamy1111]

Thank you sir