Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Flatten | Formula

What is Convolutional Neural Networks?
What is the actual building blocks like Kernel, Stride, Padding, Pooling, Flatten?
How these building blocks are help to reduce dimensionality with keeping all important feature.
What is the formula to get output layer dimension?
Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Explained by Python Code • Convolutional Neural N...
Neural Networks - Feedforward Algorithm | Matrix Math behind | Forward Propagation in a Deep Network. • Neural Networks - Feed...
Deep Learning Playlist • Deep Learning

[@imranuddin2153]

I have no words to thank you enough. I have read several articles on major platforms but none of them explain things as clearly and in as simple terms as you did. May God make your mission of educating full of prosperity and success.

[@dragonemperorx531]

I have watched many videos on CNN , but nobody ever explained it like this . I have no words to describe how good your explanation is sir . Hats off to you.

[@adhr1t]

This is incredible. Fully explained the math behind how CNN Kernels, strides, padding, pooling, and flattening work with simple matrix examples. I've watched many videos about this process and nothing explained it as well as this. Thank you so much !!!!!

[@deepanshutrivedi2536]

Couldn't be more simpler. Excellent. It has helped me a lot in understanding deep learning. Thank you!

[@aishni6851]

Thank you for making this accessible and easy to understand! Very helpful.

[@taratara2509]

The best video in all UA-cam about CNN

[@mahbleh404]

Yrah. Complete explanation

[@zeb_lala134]

No cap

[@deepankerrawat6170]

I like your old school type of teaching with little bit of definitions on screen. Thanks sir.

[@kaushaltopinkatti8860]

Excellent! None of the graduate professor here at my university in the US taught this concept so easily.

[@ambuj6785]

easy to understand i was struggling to understand the basics and the maths behind CNN and you made it so easy that now i can explain it to my friends too and even teach them the basics.

[@rajrau2551]

What kind of teacher you are? the best and authentic one !! I agree with people commenting this 21 min video is better than 3 lakh data science course and also you save 10 months..
Apart, you are guys India is always proud off

[@binodsuman]

Thank you Raj for wonderful words. Your comment add some more joy in my today birthday celebration 🎉👏🤝🙂

[@shreya6107]

Such a clear and detailed explanation! One of the best videos I have seen on Convolutional Neural Networks.

[@syeda8343]

I spend my whole day for one by one concepts in different videos. Alas l found you and can do this work in 21 minutes.

[@nafassaadat8326]

Thank you so much for this nice explanation. 21 minutes more beneficial than my whole deep learning course.

[@binodsuman]

Thank you Nafas for nice words. Really motivating me to do more. Happy to know this Deep Learning concept helped you. Keep Learning !!

[@nafassaadat8326]

@@binodsuman do more and more 🥰👍

[@deepikaselvamurugan6405]

Extremely useful video on CNN for beginners! Thankyou!

[@olaashraf5914]

This is the first time I understood anything about this topic. May all your dreams come true good sir

[@aneent0x29a]

very easy to understand, thanks for the explanation. my research became easier with this video. may god bless you.

[@binarybeast2685]

Stunning video! , cleared all the basic concepts!

[@piyalikarmakar5979]

The best way to start from null to deep..Thank you sir...

[@arnoldmunuana2775]

This is one of the best explaination of CNN. Thank you very much

[@arpanjain4223]

Amazing explanation, best video so far explaining the basics of cnn, thanks a lot

[@samuelmuturi48]

you made the explanation so easy i have been scrolling through webs and videos but here you gave the answer in simple way may May God bless you.

[@sheharyarejaz9378]

I am really Thankful to You sir.
You are really a professional Teacher. Explain the Complex topic in Very effective and easy Way. Thank you Sir.
💚Love from Pakistan 💚

[@Why_I_am_a_theist]

Simply amazing , I have test tomorrow and this video is a life saver.

[@soryegetun529]

One of the most understandable videos about CNN. Thanks much ^^

[@ganeshsubramanian6217]

What a wonderful explanation, Binod, sir! You are really awesome.

[@vishaldas6346]

You are awesome, complicated theory in simple terms.

[@idrissjairi]

Thank you so much for this magnificent tutorial, your efforts are much appreciated!

[@sokopinions]

You're the best....finally an explanation worth listning to

[@raginisharma9302]

Such a Wonderful teacher - you saved me from reading so many articles in the middle of the night when I am feeling so sleepy but your lecture was so good that I didn't want to lose focus. Thank you for making me understand the CNN concepts so clearly- can't thank you enough 🙏🏻

[@emmanuelakpaklikwasi4300]

Exactly my dear. I have watched several videos... he just saved me.

[@priyankapuvar2691]

believe me the way u explained this is excellent.....thanks bro

[@Popdad]

Thanks Binod, fantastic explanation. Keep up all good work.

[@mhmdalishamass5388]

Excellent Explanation. Thank you !

[@soumyadiproy1964]

Thank you sir, for the detailed explanation.

[@hcv1648]

sir.. thanks a lot to end my 10 months-long struggle to end this. you are doing a great job sir.. no thanks would be enough.. respect from netherlands

[@binodsuman]

Glad to hear Tuhin, this Convolutional Neural Network CNN Tutorial series helped you. Keep Learning, Keep Learning and thank you very much for your nice words !!

[@ramapatipatra4814]

Awesome lecture with a well explanation of each and every parameters regarding CNN..

[@shankarikarunamoorthy4391]

Very clear explanation. Thank you sir.

[@muhammadawais2173]

before watching this video I was so confused about this different terminology, but sir you make the thing easy for us. thank you and stay blessed

[@binodsuman]

Thank you so much for your kind words and support! It means a lot to me to hear that my content is resonating with you and motivating you. Your comment has truly made my day and inspires me to continue creating and sharing. Thanks again for taking the time to share your thoughts, and I hope to keep delivering content that you find valuable and enjoyable.

[@gulafshansaifi5192]

The best video for CNN. Thank you.

[@mesaygemeda5195]

you well done, I appreciate the way of explanation....in addition to that let you show us what does drop out,dense,flatten and how can use it...pls send to me more explanation with examples...thank you for unlimited sharing your knowledge...

[@muhammadalikhan5003]

Wonderful video. Easy to understand. Highly recommended.

[@3sisterscreateworld0191]

It's really very much helpful .A clear explanation with example you did.Thanks from me Bangladesh a lot.

[@faizaansayyad]

Thank You!!! Beautifully explained

[@amircodes]

Crystal clear explanation. Thanks.

[@abhikannu]

Thank you so much sir
I had a seminar on this topic so this video is very useful for me to understand and explain

[@gamingschool3357]

Thank you very much guruji it was great help 🙏🏻

[@srinivasrathodkethavath9545]

Really helpful video. Thanks a lot!

[@MrYomantanepali]

he earned my subscription

[@user-pm5hf5kg5r]

Thank you so much man. I learned CNN basics in just 29 minutes. You are really awesome

[@tharunbanala7234]

for convolution we have to rotate the matrix right

[@shruthihm6057]

Good explanation Binod ! Its helpful.

[@inquisitiverakib5844]

Overwhelmed sir , nicely explained a difficult topic

[@007bindass007]

Shandaar...Finally i got a channel with ease of understanding. Now I can get things more clearly. Thanks BINOD SUMAN ACADEMY.

[@5pointpulse-75]

Thank you so much!

[@aditisengupta251]

Thank you for making this sooo simple!! dhanyabaad sir !!! :)

[@mohamedtawheed6951]

Wow, thanks for the video

[@jpbs4281]

Awesome!

[@antibioticsOfWorld]

best video!!!! very simply explained ...Thanks a lot sir

[@reemabdullah9905]

Thanks a lot for the amazing explication

[@vincentumeh7891]

You're simply the best!

[@VishalSingh-wt9yj]

easy to understand, great way of explaining

[@maheshpatel2005]

nucely explained all together... thank you sir...

[@michaelscience2481]

You are doing a great job sir. Please keep it up.

[@prothomantorbanik1728]

Best video on this topic! Loved it🤘

[@saikhrisat1624]

Thank you so much keep doing this

[@ajay.sarvaiya]

Thank you sir! great explanation

[@youshaarif4253]

Thank you so much for the simple explanation ☺️

[@chandranidassarma4732]

loved this

[@faizahkhalid9468]

you explained so well. Way more better than foreign university professors

[@RaviPrakash-fc4ur]

Excellent explanation sir🙏🏻. Thank u sir....

[@kristanbottjer8001]

Thank you for this Video, you are doing a great job

[@yashgupta4099]

The best all doughts cleared 😊❤❤❤

[@Ran10138]

very informative...appreciate it

[@dhruvsharma3823]

Thank you so much for sharing the knowledge

[@yuv09]

Sir u cleared everything and your slides will help in writing exam

[@sadmansakib7947]

Thank you so much. It's helpful!!!

[@AMANVERMA-bq8hj]

Thanks a ton Sir ! U made this topic so easier to grasp :)

[@ashokbekkanti]

Sir.......... Thank you so much sir. Its very easy to understand. Thank You again sir

[@nicolenharaunda1222]

thank you sir. God bless you

[@Hope-jl2zb]

You are a great teacher

[@pranshisaxena6063]

Sir very helpful, thank you 🙏🏾

[@nhlahlasibiya8388]

Amazing, genius ...Thank you

[@vineetagarwal18]

THANKS for the VIDEO SIR

[@shahnaz1981fat]

thanks for making it so simple. but can you explain me sir, if we have fixed kernels/filters while implementing cnn in keras... can you give me a source for studying more about kernels for example for horizontal edge detection, vertical edge/ loop etc that is the kernel? and why they are not able to differentiate rotation, sclaing ... any exercise for solving this...

[@mdminhajulislammahin9510]

Thanks you so much for this tutorial, Love from BANGLADESH

[@thesacredcode233]

God bless u thanks for making me understand it with ease

[@deep818743]

Fantastic... awesome explanation

[@QwertyQwerty-so4kw]

Thank you extremely much sir

[@usamazahid1]

beautiful illustration and easy explanation....good work

[@anisnajihah7476]

very clear explanation. Thank you.

[@BC-jq8fg]

Very good lecture .Thank you so much.

[@chetansoni2795]

Thankyou Sir for explaining. It helped me to understand the concept of CNN

[@binodsuman]

Thank you Chetan, good to hear Neural Network Concept tutorial video helped you. Keep Learning !!

[@nishant9847]

thank you so much sir for this amazing knowledge

[@ManishSharma-gn4ju]

Awesome Explanation....Can u recommend book that you have used to learn these details of CNN, LSTM etc
Also the video lectures that you have used for learning these nitty gritty

[@baharakal3369]

seriously, made my life so much easier! thank you!
Can you pls have a video of why we flip the kernel in convolution? I have read some literature but they all say if we flip it is convolution and if not it is cross correlation but dnt give a clear explanation on what we get from flipping?

[@vatsal_gamit]

He is amazing!!!

[@rokeyasiddiqua9375]

it was really helpful. thanks a lot.

[@user-oy2es7bo6q]

Many thanks for that awesome explanation

[@yupp_harish3936]

you are life savor man

[@MRizwan-dd1km]

thank you so much for this sample explanation.

[@sizenandosilva8913]

That's was the best explanation i've seen

[@dwhlab5436]

Amazing explanation - thanks a lot