Backpropagation Part 3 | The Why | Complete Deep Learning Playlist

[@rutvigohel5255]

OMG! This man is great! Nobody can explain as simple as him!!

[@JourneytoWINover_PORN]

are u single?

[@talibdaryabi9434]

Yesterday night, I was watching a video on this channel, and I saw how the number of subscribers changed from 67.9 to 68, and now I just saw how it changed to 68.1; I feel good because of his hard work; I hope the number of subscribers grows by more than 1k per day. and he really deserves it. Thank you.

[@nayeemuddinkhan5852]

now its 167K+

[@kumarabhishek7003]

@@nayeemuddinkhan5852 now its 176k+

[@JourneytoWINover_PORN]

@@nayeemuddinkhan5852 now 196K+

[@DataVue]

Now 216k

[@durgeshyadav2793]

@@DataVue Now 225k 🔥🔥🔥

[@adityamehra6943]

Just a recommendation , i think this video should be the first video in the series of backpropogation because its a long series , and this video helps the most or people might just run away , altho its subjective , these are my views . The course is just art , always grateful for each and every video you make

[@mohammedfawaaz693]

Is there something (a gift as such) I can give to you Sir. Never have I seen such a smooth explanation. Coming down to first principles and explaining every single step. Finally I got what backpropagation algorithm is!!! Hats off.

[@sudarshansutar1463]

You are always good teacher for me in my data science journey. Thank you so much for delivering me a great and understandable knowledge.

[@anitaga469]

Good Content, Great Explanation and an exceptionally gifted teacher. Learning is truly made enjoyable by your videos. Thank you for your hard work and clear teaching Nitish Sir.

[@a.f.r.a.z_]

OMG i have taken so many tutorials even paid but i have'nt seen such a classic and easy to understand explanation Love From Pakistan

[@aashishmalhotra]

Sir content you are giving to us . Just awesome thank you. Guys do like his channel to know YT Algo that shi maal pkk rha hae iss channel pr .

[@deepakm8811]

This is one of the best video. Have cleared lot of doubts...It gives motivation to learn the subject and feels like its not just using the library calls of keras.

[@JourneyWithMishra1]

Day-17 Successfully completed sir. Now i will never forget Gradient Descent

[@KeyurPanchal0475]

The best video I have ever seem on the Backpropagation, especially explaining the pieces required in the whole algorithm.

[@amitattafe]

One important concept is remaining that is local minima vs global minima. Here sometimes solution converges to local minima and depends on learning rate

[@sanjeevpratap6215]

Whenever I repeat a same video, I get to know something new .

[@kindaeasy9797]

20:11 pr if the derivative is 0 at a point it doesnt have to be point of minima , example f(x)=x^3 , the point where derivative is 0 is called a critical point , now a critical point colud be a point of minima, maxima , point of inflection as well , to figure it out you need to check more things , like change in sign of derivative ...

[@sarthakdoomra5231]

It totally depends on the loss function. He took loss function = mse, which is a convex function, i.e., with one minima. That's why if the derivative is 0, that point is point of minima.

[@gagangoutham2906]

Prolly the best explanation that I have seen tbh. Great work!

[@tanvirhasan9491]

You are like a gem. Thank you sir for your excellent explanation.

[@sandhyabansal5264]

Amazing lecture delivery and explanation...Made things very simple and informative...

[@sonalkapuriya4944]

No one can explain like this, just wow

[@amLife07]

Thank you sir for another amazing lecture. Best wishes to you always. 😇😊

[@shamaila3]

you are great sir, Thank you

[@onks1398]

7:09 you take b12 i think b21 is there .... correct me if i am wrong btw you are best teacher i've found on internet

[@Shivam_kgp1]

by mistake sir has written this

[@SHIVAMGUPTA-wb5mw]

its 2024 , its best explanation

[@pavantripathi1890]

Thanks for the wonderful explanation!

[@akankshapurwar941]

Sir, You are GOAT.

[@realityofindia143]

Extraordinary teacher

[@ParthivShah]

Thank You Very Much Sir.

[@kanaksharma-xd5vq]

you are great bro ..Thank you for helping us

[@narendraparmar1631]

What a explanation, Thanks a lot 😀

[@the_ved11]

Thank you, sir

[@PriyanshuKumar-yh7wz]

thank you Sir for the wonderful explanation

[@herambvaidya3709]

Sir is him 🛐

[@sohailahmad9840]

Hello sir, The videos is too much informative but if you have time then please make a video on KL divergence. Thanks

[@AnupGupta-z9x]

sir what if b value become 0 in first time i.e dl/db = -5 at 32.58 sec of this video what i am asking is why we cannot take the value dl/db for which it gives 0 in first time only why we are modifying it so many times

[@DataVue]

Thanks ❤

[@mohitkushwaha8974]

Doubt- 28 min- why we are finding new bias ?? Why not equate to zero for derivative of loss fun with bias and find the value of bias for which loss function would be minimum????? Why we are calculating step by step new value of weight and bias???

[@shashankshekharsingh9336]

same doubt , can anyone explain

[@bookcentralpakistan2497]

Love from Pakistan!

[@Priyanka_Singh13]

Superb explanation.

[@himanshiverma-kz9fg]

Thankyou so much for this content

[@ROHITKUMAR-ut9vw]

You are the BEST.

[@kumarabhishek7003]

100 days of ml playlist dekhne ke baad aisa lag rha hai ki ye isme kyun padha rhe ho itna easy sa concept

[@pravinshende.DataScientist]

great content;;;; thanks a lots !

[@N_32_KomalManojShrivastav]

sir can provide notes which you are written in video for explaination

[@Sandesh.Deshmukh]

Outstanding 🙌❤

[@kindaeasy9797]

maja aayaaaa , funnnn ,

[@thelife5628]

why don't we directly equate gradient to zero in gradient descent to get the point where loss is minimum for a particular weight?

[@shashankshekharsingh9336]

same doubt , can anyone explain

[@anjushac9307]

@@shashankshekharsingh9336 Because a closed form solution might not exist. Also, even if it exists, it might be computationally much more expensive than running a Gradient Descent

[@shashankshekharsingh9336]

@@anjushac9307 thank you

[@chinmayasahoo5897]

sir please complete the deep learning playlist

[@pavangoyal6840]

Excellent...

[@naveenrathoud1087]

are!!!! you are back😁

[@Sara-fp1zw]

thankyou very much

[@yujiitadori225]

Offtopic- Sir i am facing trouble to set up my laptop for deep learning! Can you make a separate video how to set up an environment for deep learning (CUDA and so on)

[@kamilshaikh1602]

I need this too, please someone help!

[@rutvigohel5255]

www.datacamp.com/tutorial/deep-learning-jupyter-aws This may be helpful!

[@hammadzaki1624]

Ya bro this is very important

[@apratimmehta1828]

@yujiitadori225 were you able to set up?

[@shariq021]

at 29:27 "meri to aankhen hain " - he is so funny . . . . .😂😂😂😂

[@sangram7153]

As always, Greatttt !!!🤘

[@StartGenAI]

Nice Sir 👍

[@sanjaisrao484]

Thanks

[@nikhildangi_....]

Thanks sir a lot you are my inspiration

[@zkhan2023]

Thanks Sir

[@jayantsharma2267]

great content

[@arshad1781]

Thanks 🙏

[@blindprogrammer]

thank you!!

[@dhruvkaran9724]

This is Gem !!

[@barunkaushik7015]

Brilliant

[@sandipansarkar9211]

finished watching

[@sMKUMARSAISKLM]

who r u. u follow both Krish naik videos and this channel also.

[@sagarchaudhary97610]

💥

[@znyd.]

❤

[@yashjain6372]

best

[@gauravpaithane]

[@muhammadzohaib8517]

Great

[@elonmusk4267]

andrew ng gone nistish sir on

[@navneetsinghtaneja5002]

Sir call not coming for interview fresher

[@campusx-official]

Linkedin par apne sabse badhiya project ka working demo post karo. Aur batao you are looking for a job

[@navneetsinghtaneja5002]

@@campusx-official ok sir, maine currently notebook par work kiya ye enough rahega

[@campusx-official]

@@navneetsinghtaneja5002 Nai, build an end to end project. See my project Playlist

[@navneetsinghtaneja5002]

Ok sir i will create

[@AhmedAli-uj2js]

You are not a human

[@illusions8101]

Omg

[@CODEToGetHer-rq2nf]

Again commenting goddddd level teacher ❤️🤌🏻