Convolution Operation in CNN

In this video, we will understand what is Convolution Operation in CNN. Convolution Operation is the heart of Convolutional Neural Network. It is responsible for detecting the edges or features of the image. The main reason for the good performance of Convolutional Neural Network is Convolution Operation.
With simple mathematics, you will understand how Convolution Operation in CNN is able to detect edges of the image. Then we will also discuss how the Convolution Operation is performed in a colored image.
This video will be a complete package to understand Convolution Operation in CNN.
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Timestamp:
0:00 Intro
1:26 Convolution Operation in CNN
4:07 Vertical Edge detection
6:21 Convolutional Layer
7:23 Convolution Operation for Colored Image
9:12 End
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
📕 Sorry, the Assessment quiz was deleted due to a technical issue. I will upload it after some time.
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Follow my entire playlist on Convolutional Neural Network (CNN):
📕 CNN Playlist: • What is CNN in deep le...
At the end of some videos, you will also find quizzes that can help you to understand the concept and retain your learning.
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
✔ Complete Neural Network Playlist: • How Neural Networks wo...
✔ Complete Logistic Regression Playlist: • Logistic Regression Ma...
✔ Complete Linear Regression Playlist: • What is Linear Regress...
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
If you want to ride on the Lane of Machine Learning, then Subscribe ▶ to my channel here: ruclips.net/channel/UCJFA

[@p0tat0627]

This is one of the best playlist for CNN. Thanks for the upload. Please continue helping the community. I am sure you will gain more views and support in the future when people will start to realize

[@CodingLane]

Yes… I will continue. Thank you so much!

[@maharshitrivedi3749]

because of the graphics and visualization the concepts become more clear to me. thankyou for creating this content.

[@photorealm]

Very well explained, showing the resultant images with the edges made it all make sense. Thank yo9u for sharing.

[@devanshshah396]

By far the best explanation I have ever seen all over the internet. Respect _/\_

[@dheemanth_bhat]

Thanks pal! Brilliant explanation.

[@pragya1tiwari]

Thank you for such crisp and to the point explanation. Being at an absolute beginner's level, this video was really helpful :)

[@omoniyitope7826]

This is really interesting and simplified. Thank you so much for the handwork you put in

[@TortoisesShell]

Amazing content and explanation, keep up the good work mate!

[@jeanpierrenyakuri8608]

Excellent I like this video, it explains clearly the CNN concepts. You are the best CNN Lecturer for me.

[@KritiUvacha]

I read so many articles and watched many videos but your videos are just amazing, keep on going
The depth of your understanding and your way is just outstanding. :)

[@CodingLane]

Sorry I missed your comment earlier. But I am really glad to hear such words. Thank you 😇

[@AyushKumar-kp9jz]

Fabulous explanation!! Hats off!!

[@patrickorone1149]

thanks sir, this channel is a blessing to me. God bless you

[@justheredoingnothing1170]

Targets exactly what I was confused about! Thank you so much for making this video, it is really great 😃

[@CodingLane]

Glad it was helpful!

[@rhandellmalicsi1824]

😊

[@divyab592]

Very neat graphic illustration. Explains the concept so well

[@aysegulsezen4280]

It was excellent explanation. Thank you.

[@mysto5107]

Really love your explanination !

[@Kapilwankhede22]

Hello Jay, thanks for making awesome videos ..

[@samueljohanes5219]

thank you... very helpful. i hope the quiz will available soon

[@sabazainab1524]

Your playlist is the best that I found about CNN. Amazing content and it's so understandable. Lots of respect and love from Pakistan

[@CodingLane]

Appropriate your words! Thanks!

[@sujithsaikalakonda4863]

Wonderful explanation sir.

[@mdafroze6123]

great explaniation

[@newtonpermetersquared]

This was such a practical explanation 👌👌👌

[@sepphashemi4324]

you are awesoeme. good job for the nice work

[@KomalSingh.87]

Where's the quiz?

[@shahidulislamzahid]

Helpful! Thank you.

[@CodingLane]

Welcome!

[@SamruddhiDivekar]

Thank youuuuu❤Great Video👍

[@agogubaid2360]

You answered all my doubts that were raised during my learning of CNN. Thank you so much

[@CodingLane]

Glad to help :)

[@sifatniloy3783]

thanks for making the video

[@user-en4hl8dy8c]

Amazing explanation 🙌

[@abdulwahab-mf2cm]

your videos are so helpful

[@pradeeprekapalli8355]

Great video. My college learning is nothing. Thanks for explaining with real life example

[@CodingLane]

Happy to help 😇

[@nguyenano402]

Thank you for your dedication and about the quizzes, I can't find it.

[@foluobidare957]

you are very good teacher

[@malikhamza9286]

Your videos are super helpful.

[@CodingLane]

Thank you so much!

[@John-wx3zn]

well taught, I learned

[@aashiagarwal9870]

Amazing. Keep this good work up !!!!!!

[@CodingLane]

Sure, thank you 😇!

[@ibrahimghaddar7877]

great explaining

[@mahuyadeb4588]

So well explained in simple terms

[@CodingLane]

Thank you 😇

[@arpit743]

hi!, why did the vertical edge detector capture some of the slanting and horizontal edges?

[@akshitgoyal8484]

best playlist

[@sragav4559]

Thank you very much Bhaiya❤❤❤❤❤❤

[@martinh9099]

Thanks...brilliant videos

[@CodingLane]

Thank you so much! Glad you found the video helpful 😊

[@deniztekin2287]

you are so awesome. this is how you should explain things for the start.

[@CodingLane]

Haha… thanks a lot!

[@engr_nadeemshah]

I am from Pakistan and watching your playlist in Germany. Great content!
Keep doing the good work.

[@CodingLane]

Wow, really elated to hear this. Glad the content helped you! 🙂

[@jaydeepdabhi3592]

Great Explanation!
provide the link for quiz please!

[@arvinds7182]

the best video out there for cnn

[@CodingLane]

Thanks man! Appreciate it!

[@panpanplusplus]

10:20 ah, no worries. I press like BEFORE I start watching your videos.

[@NasserTabook]

Excellent, work very easy and simple explanation 👍👍👍

[@CodingLane]

Thank you!

[@Tai-Lung]

Really helpful

[@mahalakshmi5264]

Is there any way to put the values and change of filters?
How can we choose those filters?

[@fullseries2155]

Thank you sir

[@yusmanisleidissotolongo4433]

OMG, you need to be hired in my university. You are great!

[@CodingLane]

Haha… Thank you so much for appreciating! Means a lot to me.

[@satheeshkumarmotivation1162]

quality content, hopefully u will get the more result soon.
kudos to you sir

[@CodingLane]

Thank you!

[@nagasudha6928]

thanks a lot

[@anefuoche1053]

you are the GOAT, greatest of all time

[@CodingLane]

Haha, thanks a lot. I highly appreciate it 😄

[@Name-yu6ux]

The filters have specific value and they can be used in any img?

[@vigilgeorge9508]

Thankyou

[@user-ld8lc4ex4m]

thank you

[@poxato]

Hey man. thanks for making this video. but can you please re upload the quiz.

[@user-eu4sn5jg8p]

i had a doubt you mentioned gray scale goes from 0 to 255 so the filter you say has negative values too how is that possible

[@artie5172]

How will there be many filters in a single layer ? Are the filters treated as weight in the cnn?

[@sourabhsoni2460]

where the filter matrix values came from?

[@python_knooobb]

Amazing, but i was curious to attend quiz, to know how much i have understood

[@user-py3rl8jt9s]

you are the goat

[@rishikeshram574]

nice explanation ... but bro u must explain the difference between cross correlation and convolution.

[@JanLearningSkills]

Brother your videos are excellent

[@CodingLane]

Thank you!

[@varikutigangagowri5341]

How to take filter values

[@mugomuiruri2313]

good

[@girlysh09]

please upload quizzz!!!

[@KomalSingh.87]

Kindly upload the quiz

[@PranavVashisth]

good one !!!

[@CodingLane]

Thank you. Cheers! ✌️

[@user-gu9nw8wy9w]

Sir u took 1and 0 for identification of edges before that u used 0-255pixel number and got output without 0 how it identifies black and white sir

[@lijinhui6902]

thx so much legend

[@CodingLane]

Hehe… welcome!!

[@vegitasandy]

can you please upload the quiz

[@gurmeetchauhanfoj3850]

Quiz link please

[@mathavansg9227]

Bro pleaase come back and give us more video

[@venkatswaraj3054]

Please upload the quiz. Atleast do it in google forms. Thanks in advance.

[@kumpatiasheer1895]

how you will
take the filter values like 1 0 -1..?

[@CodingLane]

You don’t set the filter values manually, but these values are trained using backpropagation. I have explained that in further video. Training the model automatically sets the appropriate filter values necessary to detect features in images (and we may not know what that filter is detecting)

[@burerabiya7866]

Hello I need you presentation ?could you please share your presentation slides

[@debashishtiu2919]

Research project?

[@DS-AnuGayathriS]

Assignment Quiz?

[@saranyavijayan2149]

How do we choose the filter size ?

[@CodingLane]

If your data has more complicated information, you can take bigger filter size. Otherwise smaller. You will need to test your filter size and number of filters by training the model and checking the accuracy. Take the filter size and no. of filters where you get the highest accuracy.

[@parthapratim8369]

Best best best

[@wanderlust0904]

sir there is no quiz please upload it again

[@sahithich1925]

quiz pls

[@astatosiseverywhere]

upload the quiz sir

[@kritibhaskar3286]

Where is the quiz

[@user-eg7ll9hg4h]

where is quiz ?

[@sairam4998]

google form not found for quiz!

[@CodingLane]

Thanks for letting me know. I accidentally deleted it from my drive. I will re-upload it again after some time if I find that quiz.

[@iduzeth5606]

I want that quiz 😭, I am ready

[@oyebamijimicheal8372]

😁😁

[@lochuynh6734]

I think this operator would be Cross Correlation. Did I have any mistake?

[@CodingLane]

Hi Loc. Both Convolution Operation and Cross-correlation operation works the same way. We just use flipped filter values in the one.
But, both can be used to achieve same purpose.
In this video, at 4:44, you can understand the difference: ruclips.net/video/tQYZaDn_kSg/видео.html

[@CodingLane]

Let me know if you still need some clarity

[@lochuynh6734]

@@CodingLane oh I see, thank you so much.

[@walidhamouich486]

[@axitamohanta6743]

how it become 4*4 matrix?

[@anythingilike237]

we have n*n size matrix and filter size f*f then we apply formula (n-f+1) * (n-f+1)

[@revantgautam0077]

Siuuuuuu

[@revantgautam0077]

Ronaldo siuuuu

[@ReviewGame10]

Bro forgot :('📕 Sorry, the Assessment quiz was deleted due to a technical issue. I will upload it after some time. '

[@81_saibalbera68]

Sir can I contact you any how......via Mail or what's app.....I really need some help.

[@CodingLane]

You can mail me at [e-mail]

[@srinivasasw]

Hey Jay...you are a gem.
Can i connect with you on LinkedIn please

[@PRINCE-pt5gx]

😢😢😢quiz

[@jordiwang]

man,, can you marry me?

[@CodingLane]

Haha… if you propose

[@patrickorone1149]

thanks sir, this channel is a blessing to me. God bless you

[@CodingLane]

Happy to help 😇

[@neeveshjain]

where is quiz ?