Tutorial 22- Padding in Convolutional Neural Network

preview_player
Показать описание
Hello All here is a video which provides the detailed explanation of Padding in Convolutional Neural Network

You can buy my book on Finance with Machine Learning and Deep Learning from the below url

Buy the Best book of Machine Learning, Deep Learning with python sklearn and tensorflow from below
amazon url:

Connect with me here:

Subscribe my unboxing Channel

Below are the various playlist created on ML,Data Science and Deep Learning. Please subscribe and support the channel. Happy Learning!

You can buy my book on Finance with Machine Learning and Deep Learning from the below url

🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO
3 THINGS to support my channel
LIKE
SHARE
&
SUBSCRIBE
TO MY YOUTUBE CHANNEL
Рекомендации по теме
Комментарии
Автор

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

SALESENGLISH
Автор

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

uabresearchcomputing
Автор

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

malusisibiya
Автор

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

ruparajakumaripeter
Автор

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 .

sayantanchakraborty
Автор

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

vishaljhaveri
Автор

Thank you man clear and simple as it should be

pietro
Автор

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

ranjan
Автор

Awesome video! Very explanatory, thanks.

emmanueladebiyi
Автор

Thank you so much sir for this easiest explanation.

mayureshgawai
Автор

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

manjunath.c
Автор

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

vamshiraodugyala
Автор

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

ICT.amit
Автор

please upload more videos on deep for more videos

bajarangjadhav
Автор

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

nair
Автор

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

arunmehta
Автор

sir please upload the videos regarding recurrent neural network

sunnysavita
Автор

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.

poonamrathore
Автор

Please upload more videos in this playlist :) eagerly waiting

tyagiFit
Автор

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

sandipansarkar