Padding in Convolutional Neural Network

[@Sickkkkiddddd]

Maaaaaaaaaan, you make this stuff really simple... sigh. Its a relief. Edit: please use a white marker next time on your black background.

[@raskirocks]

You are doing a great job. Keep uploading new videos.

[@CodingLane]

Thank you

[@deepthitulluru5584]

Can you provide any notes about all this convultion neural networks That might help for my project Any ways nice explanation & content bro

[@mariamhm]

Hi!, I just wanted to tell you that your channel saved my academic life I don't have enough words to express how thankful I am. Thank you very much for this great, clear, and straightforward explanation!

[@CodingLane]

Hey, I am elated. Glad I could help. All the best for future!

[@gayanath009]

Lovely explanation. Best wishes

[@sihatafnan5450]

Great content just one suggestion, red pen over black background isnt a good choice

[@shahidulislamzahid]

Helpful! Thank you.

[@CodingLane]

Welcome!

[@adarshvadapalli]

@coding lane - Can u pls share the PDFs for all the videos in this playlist. Even you u charge fee it is fine. Please share it.

[@pinsaramallawarachchi8201]

Simply wow

[@Ramu9119]

thanks for the video champ

[@williammartin4416]

Thanks!

[@requanmoseni7027]

I have a question,,yes padding is important in giving corner pixels much attention as the middle pixels in filter wimdow,,,but then doesnt make the process of convolution invalid because the output image is same as input image??? And the whole purpose of convolution is to reduce the size of input image

[@magmanik5833]

I'm guessing that's the point of maxpooling, since pooling is always applied after convolution. The thing is that idk when people would use paddling and when they wouldn't, since it makes sense to always use it at least for the first layer.

[@malikhamza9286]

Amazing videos

[@CodingLane]

Thanks for your continuous support

[@mugomuiruri2313]

good

[@ANILKUMAR-mn7pk]

let 4*4 pixel and we add 1 padding then it become 6*6 and filter of 2*2 then output dimension will be 5*5 but we want 4*4 output.....this is my doubt

[@WOLVERINE-15]

if you want same image dim with filter having even dim (i.e 2*2), need to apply uneven padding (i.e 0 on left and 1 on right, same with top and bottom => now image will be 5*5)

[@aniket_kalta]

Apply 3*3 filter to get 4*4 pixel image

[@requanmoseni7027]

I think what you're asking is how can we know what filter size to apply to input image to get output image of same dimension as input image????

[@BilalAhmed-jh2jv]

I have a question you have 2 problems with pixles but what will happen if we don't apply padding???

[@AnkitaKumari-hw8bx]

Plz upload more frequently,t's really easy for us to understand from your teaching

[@CodingLane]

Thank you so much! I will do my best to upload more frequently. I have already increased my uploading frequency from 1 video/week to 2 videos/week. 🙂

[@yatinarora9650]

you should have added, If kernel size is non-symetric matrix then how to do padding

[@CodingLane]

Okay thanks for the suggestion 😇… will try to add it in the future video

[@hamedhasani5774]

that was perfect !! many thankss !!

[@rdxrdx1792]

Where is droupout video

[@CodingLane]

Hi, its on my channel, please look into the Neural network playlist.

[@MuhammadToqeer-q2g]

genius genius broooooooooo

[@Miss_Md]

Thanx

[@CodingLane]

😇

[@DJKim-pq5rn]

wow this is a great video

[@danyalkhan8923]

Thanks g

[@jaisarita]

Really nice explanation ❤

[@Seba_Crea]

👍

[@mohammedamirjaved8418]

Bubber Shair veer.....Shahzada

[@CodingLane]

Thank you 😁😇