Tutorial 22- Padding in Convolutional Neural Network

Hello All here is a video which provides the detailed explanation of Padding in Convolutional Neural Network
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[@SALESENGLISH2020]

You can see the passion for teaching and disseminating knowledge in Krish's eyes. Keep up the great work!

[@uabresearchcomputing1647]

Padding is often neglected, but very necessary. Good on you for making a straightforward example to aid in understanding!

[@malusisibiya3330]

You forgot to mention that the strides may also have an effect. Your example is true if the stride is 1.If the stride was to be 2 for instance, things would change. Use the formula;
Dimensions = [(input image size-Filter size+ 2*Padding size)/stride size + 1].
In your last example with the stride of 1 and padding of 1 as you only have one layer of 0's surrounding your original image,the solution is worked out as follows:
Dimensions = [ (8-3) + 2 * 1)/1 + 1]
= 8
Therefore the feature map has dimensions of 8 * 8

[@mritunjay3723]

bhai husiyar mat ban ..wo baap hai sabka

[@siddhantkumar698]

Thanks !!

[@poonamrathore534]

I cud see through your eyes that how excitedand happy you are to deliver your knowledge. I know this video is just a nutshell of your great sea of knowledge.

[@vishaljhaveri7565]

Thank you, Krish sir. Nice concept. Beautifully explained.

[@emmanueladebiyi2109]

Awesome video! Very explanatory, thanks.

[@ruparajakumaripeter1229]

Great Effort to make the things so simple. Dedicated teacher. Keep going...

[@rajacspraman1791]

Very well explained! Kudos Krish!

[@pietro452]

Thank you man clear and simple as it should be

[@sayantanchakraborty75]

Hi Krish Sir, I really like your teaching style.... you have made clear many many doubts of mine. Thank you very much. And Sir I have a request, kindly upload the further videos on this series as I have got exams recently. God bless you .

[@mayureshgawai5951]

Thank you so much sir for this easiest explanation.

[@dharmeshpatel1390]

Easy and to the point 👍

[@tyagiFit]

Please upload more videos in this playlist :) eagerly waiting

[@manjunath.c2944]

krish kindly do video'S on RNN ...very much appreciated for your effort

[@louerleseigneur4532]

Thanks Krish

[@vamshiraodugyala5594]

Bro please can you upload the programming part of the classes so that we can also have a look at how to code the classes you are taking

[@unemployedcse3514]

Awesome 💞

[@ranjan4495]

1st to like, 1st to view, 1st to comment.

[@tanushsshetty3274]

Awesome sir

[@bajarangjadhav8432]

please upload more videos on deep learning.....waiting for more videos

[@sonamkori8169]

Thank you Sir

[@kuntalchowdhury5336]

Excellent

[@satarupapanda7774]

hey krish do upload lectures on RNN,Autoencoders , boltzmann , belief networks and GANs too with implementation

[@sonofgod00]

thanks Sir

[@abhinavprasad5743]

Hello Sir..! can you upload a practical example that how to build an Image Classification Model in deep learning??

[@shiffin_chippe]

Plz continue the series

[@ganeshrao405]

Sir , one ques: when we can use convolution so it's okay to be if we've lower pixel size compare with input , losing data and padding could see it's necessary to make sure not loosing any data.

[@memesymubrra2472]

thankyou sir..

[@amitshukla7827]

A small question : Are filters always a square matrix or their dimensions could be adjusted by user to their use ?

[@ndminhnhat]

Also, can you make a video how to applyTensorFlow Serving? Thanks!

[@shalininaidu661]

Krish,
Please do more videos on CNN,RNN .Waiting for it

[@unnikrishnanms3431]

Hi Krish....cud u continue sessions on GANs,Variational Autoencoders,CNN and its various architectures and applications in img processing like Unet for semantic segmentation......

[@poonamanand9011]

Can you please make a video on Restricted Boltzmann Machine? Thanks

[@pratikpratik8495]

Next video on Recurrent NN , GANs,Autoencoders , Natural language processing please

[@nehamanpreet1044]

Please give videos of practical implementation also.

[@nair12475]

for a given input and output , can we find the corresponding filter

[@sandipansarkar9211]

great video.Please provide the ipynb notebook link wherever necessary.Thanks.

[@amitpatil518]

Are the values inside the filter always the same , and how are they computed?

[@arunmehta8234]

Great video. can you please let me know what mike you are using?

[@sunnysavita9071]

sir please upload the videos regarding recurrent neural network

[@renjithraghavendra3888]

Expecting videos on 3D CNN as well ...

[@curiosity9861]

in 6×6 matrix if stride =2 and padding=0 what will happen

[@lokeshsahu1032]

Hi is this series is completed?

[@yanamalabhargavi2530]

sir why should we take always filter is 3x3

[@ndminhnhat]

Can you make a video how to load large dataset by using Tensorflow or Keras? Thanks!

[@uabresearchcomputing1647]

Have you tried the keras flow from directory data generator?

[@224_harsh2]

🤩🤩🤩🤩🤩

[@eyobsolomon4663]

In machine learning, there ANN. Also in deep learning, namely in CNN there also a classifier ANN. How can we pass numeric data (.csv file) as an input to a convolutional neural network?

[@vishwajeetohal9137]

A .csv file would probably contain tabular data. If it does, a CNN may not be the right choice of algorithm.
To answer your question, you may transform the data in the .csv file to fit a grid of the input layer of a CNN, but then again, if your data has many different features, would transforming them into a grid like that make sense for your problem? If yes, then go ahead! If no, choose a different kind of neural network.

[@Vidya_Sagar_S_D]

Can we use 2*2 filter

[@venkateshmorishetty5489]

Hello Sir,
after padding the output image dimensions will be same as original image.So, formula will be (n+2p-f+1) here why we are multiplying P with 2 and in the problem we are added extra 2 rows and 2 columns but you considered p only 1. can you please explain me.I did not understand that???

[@tanweerkhan3020]

As per my understanding, here p=padding which we have performed in all four sides(1,1,1,1) but in the formula we are multiplying padding only with 2 because we are considering only one dimension of square matrix(for image 6x6 n=6, for filter 3x3 f=3 and similarly for padding 2x2 p=2)

[@mrinalcloset1077]

Sir please add RNN lectures also

[@rawan-asad8dw7xf9u]

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[@rmanikandan2268]

Great Bro...! But i think Binary value '0' means Black & '1' means White. is it right sir?...

[@sanidash9693]

Strides explanation?

[@nehamanpreet1044]

When are you uploading a new video on deep learning ????

[@deepanshuchoudhary4598]

what do you think this video was about?

[@anupamborah2551]

@@deepanshuchoudhary4598 lol yeah...haha..

[@pradeepsingh-zu1pi]

Missing denominator as stride in the formula because your are taking stride one bit what if stride is two

[@janristuasitanggang5252]

heang natuuuuuu

[@nimishukey]

You might got 10 dislike mistakenly bcoz while watching this video I have unintentionally clicked the dislike button but while upvoting it I get to know and rectified my mistake 😅

[@MrLucky281188]

Worthless without code

[@robinkumar9021]

Thank you sir