Backpropagation in Deep Learning | Part 1 | The What?

[@balrajprajesh6473]

Cancelled Netflix and Hotstar subscriptions. Binge watching CampusX these days! Magnificent 100/10 ratings!

[@DebjaniMajumder-q5p]

Me too 😂Sir is really an amazing teacher. Itna clarity aur interesting way me bolte hai movie se kam nahi hai😁May god bless him for his selfless work🥰

[@Gudduyadav_1989]

Exactly 😊​@@DebjaniMajumder-q5p

[@Gudduyadav_1989]

😅😅😅

[@Khadarvali1907]

Me too

[@pranavreddy9218]

I am very happy to see such detailed derivation: at 41:25, it should be O12, by typo you kept O21.. please have a look

[@harshvardhanjoshi3880]

Started with a small doubt in hard margin problem in SVM and saw the whole ML playlist on 2x in 2 days. It connected all the missing dots or missed concepts like a story. I am perusing MS in data science still never found such a good relation of deep learning and ml and such a concise explanation. Hats off. 🙌🙌 Day 4 and I am in the middle of revising deep learning concepts with such a good explanation

[@PankajJangid-w8x]

bro 2 din mein 2x mein kaise complete kiya the whole ML playlist 🤔

[@sam-mv6vj]

Sir just complete Deep learning series the way you teach is magnificent, eventually people will find this treasure soon,just keep doing good work

[@tanmayshinde7853]

Yaa bro, but I am stuck in NLP playlists. I follow bhaiya video last one year and I don't understand from other teacher's teaching that's why I commented.

[@kanhabansal524]

I was not able to understand this from my professors in fancy universities in UK. A big salute to you Sir

[@ITVishal]

Waah beta

[@JourneytoWINover_PORN]

paisa hai bhaii

[@AnmolKumar-so8lh]

Sir your 1hr video feels like 10minutes and it's satisfying as like we are watching a interesting web series thanks a lot the best teacher 🙏

[@The_big_shot614]

He is the best teacher. His way of teaching is outstanding and better than all the universities of Canada.

[@paragvachhani4643]

Niteshji...I am speachless to appreciate your efforts for us... Kabhi nhi socha tha ki higher level study me bhi itne achhe teacher mil sakte hai... Aap ka work awesome... And unique hai...

[@mahjabinbintemannan8924]

Nitish Sir, can't thank you enough for creating this masterpiece of a playlist for free. It's the best resource. Will always be indebted to you.

[@Tariqkhan-i6v]

He is the best teacher. His way of teaching is outstanding and better than all the universities of Pakistan.

[@anitaga469]

Never seen such a simple explanation for back propagation. You are an exceptionally gifted teacher. Thank you for your hard work and clear teaching Nitish Sir.

[@sidindian1982]

Sir, what are you made up off ?? inch by inch .. point by point, you explained this concept just like baby footsteps ... Sir ..in my entire 30+yrs of learning journey i never ever seen such a teacher / mentor ... I am mean YOU ARE GOD !! :-)

[@JourneytoWINover_PORN]

ab toh buddha ho gya

[@ankitamandal5067]

The way you explained the whole thing is literally awesome ! With this video am sure every student will understand the backpropagation clearly with an insightful way.

[@aakiffpanjwani1089]

i was so scared to learn backprop. But his video is too easy and too good. Excellent! 1000/10

[@Gudduyadav_1989]

कोई शब्द नहीं है, इतना बेहतरीन explanation.. a lot of thanks sir

[@prathameshchaudhari4937]

Big fan of this deep learning series and the way you explain. Please upload daily in this series so I can finally get an internship 😂😂😂

[@saptarshisanyal6738]

Superlative Explanation. I have gone through many videos regarding back-prop, it is the best explanation by far. Thanks Nitish ji

[@KuldeepKumar-fc6gu]

See how things like partial derivatives and derivatives are works in practical and solving real world problems . This man telling us by explaining them so easily. Big like to you sir.❤

[@AshishKumar-ox2ng]

I have seen all KZbin Channels for backpropogation but yours explaination is best.

[@laljijamalji2331]

you are the BEST teacher on youtube.

[@ajitnayak2919]

from machine learing to deep learning great and full detail stuff

[@rachitsingh4913]

Best Data science teacher in the world. Period!!

[@kaushaltopinkatti8860]

Excellent Sir Excellent! Currently I am pursuing my PhD and was here for a quick recap, and Sir you made my day. Keep on creating such wonderful content.

[@savyasachi6988]

best explanation of back propogation so far truly good way of teaching

[@nxlamik1245]

I found your video on my final year project sir. since then I started following and learning from you. Still many things to learn.

[@vedanand7857]

Lectures are justt greatt , i mean jst great .....41:25 nd 42:02 , inplace of O21 , there should be O12, btw u can ignore this small thing also as i was doing it on my own , so found out nd wanted to comment something nd finding even this little error is so hard cz your teaching is just Mind Blowing . Thanku for being there nd Happie Dayiiii , i will continuee......Sayonaraaa💃💃💃💃

[@shoryasharma7957]

Yes I also catch this

[@JohnDoe-f5n]

was searching this comment

[@KeyurPanchal0475]

The greatest explanation of the Backpropagation and Chain Rule, Thanks a lot.

[@AV-ht4db]

CampusX is an Addiction🙏😍.

[@vimalshrivastava6586]

Best & clear compilation of all the important loss functions. Thank you for this video.

[@paragbharadia2895]

among one of most amazing video part! touching the neurons of DL

[@waheedweins]

You lecture is not boring but like a story.. ❤❤❤❤❤

[@Arvindkumar-mb8yj]

Very well explained. I am from Java background and understood Deep Learning concepts so far very good.

[@GamerBoy-ii4jc]

Sir ye sb prhny k bawjood b apse prhny ka apna mza ata he thanks aloot for this great content. Also a request is that please make some videos in future on the transformers using hugging face i really need this Thanks.

[@vrindavan4400]

Thank you so much sir for such clear explanation, the way you explained backpropagation is literally very awesome.

[@KuldeepKumar-fc6gu]

You are going to be famous soon remember my words .the way you explain things it takes so much effort❤

[@pravinshende.DataScientist]

I like your teching method .. thank you sir .. you explain very best way .... you give ans. to every why question and i like it..thank again!!

[@tanmayshinde7853]

Bhaiya, two requests first is "Our Community" and second one is "NLP Playlist"

[@praveensingh-lx4dk]

Mind blowing, now everything clear in backpropagation

[@herambvaidya3709]

Absolutely amazed by your teachings!!

[@FaijanKhan-i1f]

This man take u in deep in every topic. Hatts off 🎉🎉🎉

[@vibhutyagi8787]

you are a legend sir. seriously you made tghings soo easy to understand.. Hats off and thanks for all the knowledge.

[@mridang2064]

Thanks for this much clarity ! Very very grateful to your efforts

[@sushantgarudkar108]

Just one word, Fantastic! Thanks a lot!

[@ayushparwal2210]

best video on Backpropagation sir thanks to you.

[@shimpygoyal8311]

Great ,Hats off to you Sir ,your teaching style is really awesome 🙏🙂

[@kuldeepsingh1121]

Thanks, sir for this best content. Now I am understanding Backpropagation.

[@shubham-pp4cw]

sir nice explanation for back propagation but i request pls upload video regularly

[@manishFromIT]

That's the reason why I am following nitish sir

[@sandeepkashyap7239]

awesome explanation.. I don't think anyone can explain this perfectly. hats off.

[@shashankshekharsingh9336]

now that's what a lecture from first principles called

[@avinashbhardwaz5717]

First teacher in my life , whose thinking exactly like me to understand any topics in terms of only what why and How. Thanks for your way of teaching sir.

[@mentalgaming2739]

Amazing video . Nice way of explanation . Thanks Alot Sir for this Amaziing Video

[@amitkothiyal5495]

Niteshji, I'm heartly grateful and thankful to you teach us. While teaching derivatives to find update value of weight & bias, if you would used real values examples for calculation then it is more beneficial to us for the purpose of understanding.

[@mayankagrawal839]

One of the best teachers🙏🙏

[@swarajbiswas7731]

your explanation is amazing, sir 🖤

[@yashkankal9529]

Well explained sir 🙏🏻 No one have ever explained back propagation like u🔥

[@shekharbanerjee9738]

KZbin 's best video, even better than Andrew NG

[@GovindSingh-lg5qs]

moj kardi sir. dil garden garden sa ho gaya😊

[@subhradipmajumder6334]

one of the best explanation sir

[@waheedweins]

My good luck! i finally find the Gold mine❤

[@mahajurakhatun6967]

wahh...really sir hats off to you...what a explanation ❤❤❤❤❤❤❤

[@jabed.akhtar]

best explanation ever. thanks thousand time for your effort to clear such complex thing in such wasy way to us :)

[@zakikhurshid3843]

Great explanation. Thank you so much for this. Keep up the great work.

[@mukulsingh2305]

@CampusX I have a question regarding the calculation at 43:16 in your video. When determining the derivative of O11 with respect to W1_11 , you seem to be using the pre-activation value. However, shouldn't O11 ​be the post-activation output (i.e., after applying the activation function)? Thank you very much for your efforts.

[@thedataholics]

You are exceptional, Great teaching skills. Thanks sir

[@pavantripathi1890]

Thanks for the wonderful explanation!

[@netajisurve3251]

Bro. Just Incredible.😍

[@prashanthvines-dp8dx]

Change the channel name as The Legend🤯

[@hey.Sourin]

Thank you sir 😇

[@HirokiKudoGT]

damm that was too ezzzzz .. you made it look like so simple anyone can understand. again thank you so much for your hard work.

[@tanmayshinde7853]

Guys, please watch the gradient descent wala video first cause it is very important

[@ayushthummar3309]

amazing explanation for backprop , thanks sir 🙌🏻

[@VishalNaik-gq4vl]

there isa mistake at 42:02, it should be o12 instead of o21, for yhat equation.

[@messi0510]

25:55 What is the reason behind finding the gradient? 48:30 What is back propagation algorithm?

[@SumanPokhrel0]

unparalleled explanation. Amazing

[@ashutoshgangwar1638]

Incredible!!!!!!!Hats Off to you...

[@SurajitDas-gk1uv]

Very good tutorial. Thank you very much for such a good tutorial.

[@narendraparmar1631]

What a explanation. Thank a lot😀

[@rb4754]

What an explanation!!!!!!!!!!!!!

[@ParthivShah]

Thank You Sir.

[@mh5_4_01]

sir I have a question... ye formula hum n machine learning main bhi to apply kia tha or loss function ka partial derivative nikala tha with respect to weight and bias y to phir statistical approach hi hogi...

[@techvideo4752]

huge effort. amazing

[@anilkathayat1247]

Sir! you are great!!!

[@sanchitdeepsingh9663]

thanks sir for simple and wonderful explanation

[@heaven8450]

Legend of Deep learning

[@lingasodanapalli615]

But sir, Why do we update weights for each student. If we do so, Then the weights will be changed according to that aprticular student data right? I mean they will try to fit just for that particular Record. Moreover Where are we considering here Cost function.

[@sayed_faixal]

53:57 I hope mein samjhaya paya ❌ I hope tumhara brain samajh paya ✅ What an amazing explaination 🫡👏🏻

[@siyays1868]

Thanku so much sir for delivering a great session.

[@kuldeepsingh1121]

Very well explained,

[@RdXDeveloper]

Just awesome sir🎉❤

[@tannuyadav2689]

Thank you so much for explanation sir 🙏

[@bobdillon1138]

Looked like a good series any chance you can do some content in English.

[@navinpandey1309]

Sir please make a video on hypothesis testing

[@rachit_2410]

Best Ever!!

[@transform2532]

@28:00 -- Chain Rule Of Differentiation (Computing Gradient of the Loss Function)

[@kshatriyasaurabhchauhan3084]

Whattttaa great explanation, thank you Sir! 🙏❤

[@slingshot7602]

Didn't we need to take account of the activation function during differentiation?

[@Ajeet-Yadav-IIITD]

such a clear explanation!!

[@userm6556]

At 33:36 , shouldn't dy hat/ db21 =0 since differentiation of constant is zero ?

[@amLife07]

Thank you so much sir 😊❤