Masked Self Attention | Masked Multi-head Attention in Transformer | Transformer Decoder

[@jooeeemusic7963]

This one hour is like a movie with full of suspense to get to learn about masked multi head attention and reach the climax. Extraordinary way of presentation sir.

[@saijena8552]

I was unable to explain to my interview panel about the decoder the same way as I did for encoder because this video wasn't realised...Such is your impact...thank you

[@uttamkp2009]

Hey for what position were you in for the interview...???

[@somdubey5436]

I believe your playlists are sufficient to crack any data science interview.

[@_PrithvirajPatil_]

Damm what in depth explaination,I had bought krish naiks udemy course in which transformers is taught in a section and i couldnt understand what he was saying ,so i came here ,man i wish i had learned complete tranformers from here,and I might actually re learn everything using this playlist(transformer).Thank you so much for this indepth intuition

[@vishnumadhav2454]

"Sir, please try to complete this DL course as quickly as possible."

[@kishanpandey2912]

Hey Vishnu! Eagerly awaiting Nitish Sir's Next video just like you! But I would like to take this comment of yours as an opportunity to address all those viewers who are waiting for this series to be complete and waiting for the next video to come out soon just like you and me. We are all in one way Nitish Sir's fan!! But have you wondered why? because this man considers teaching as an art form and his work is proof of it. and like every art form requires its own time to brew , so does this art form. Hence @nitish sir if you are reading this comment, please take time to deliver us the finest quality explanations to concepts that are important. Fatafat content is anyways available on other youtube channels too. but this channel seems special for learners. More power to you @nitish sir

[@dashadow7865]

@@kishanpandey2912 I could not agree with you more on this

[@youhavetodoit9070]

@@kishanpandey2912 Well Said Bro 🙌🙌

[@Satvik__Jain]

@@kishanpandey2912 ha bhai theek hai itna gyan nhi chodna chahiye

[@anmolpandey5692]

You are getting such gold content without spending a penny, If you can't add "ThankYou" in the comment, then don't even complain, he owes nothing to you!

[@paragbharadia2895]

part i like the most is the playlist keeps going on : peeling off one complex topic after other: wish playlist like these keep on going!

[@tehsinbhati]

😭God bless you, thnkyou so much!!!!! It's the best playlist on the internet, even better than Udemy! 🙌

[@rishabhkumar4360]

when you said one hour ho gya humare concept ko then i realised i watched the entire video without getting bored. Amazing sir

[@Vargabh]

This was hands down one of the best video I have ever seen for Transformer Decoder. Thank you for the amazing tutorial.

[@geniuskartikeya]

The best lecture series on Deep Learning, includes everything from NN -> Deep learning on Image and Deep learning on NLP. Loving it.

[@Shisuiii69]

Great explanation sir ... Sach me itne ache se deep me smjh aya hai ky andr se motivation milti ky ksi ko prhau ja kr Lovee youuu hogya Sir 🥹

[@Shisuiii69]

This deep learning playlists is like an amazing Netflix series for me lots of suspense, maths creativity and after every episode i was like damn how this hero make it easy to understand Really appreciating your hard work Sir 💎

[@amandalan1304]

I've been following many channels for years to learn deep learning, and I finally found the best one.

[@MohitRathore-z4t]

Sir, appreciate your Hard work and determination 🙏🙏

[@picklerick4921]

I have been following all of your videos and your explanation of these concepts are absolutely fantastic! The clarity and detail you provided really helped me grasp it effortlessly. It's obvious you're not just knowledgeable but also great at teaching complex ideas in a way that's understandable and engaging. Thank you for making learning so enjoyable! and the cherry on top is that these are absolutely free. I promise I will share my "$ Thanks" once i am done watching all your videos.

[@techievans]

Sir ! Hats off Sir ! Hats off ! Such deep understanding of this stuff and the generosity you have to just tell people in such easy manner...!!!

[@traveldiaries347]

Whenever I open your videos, I first like them and then watch them because I know that a lot of effort is already put into making them. Thank you for such extraordinary content 👏. Stay blessed.

[@afroman1611]

the way you teach is absolutely magical

[@oden4013]

sir 5 min ka samjne ke leya 55 min lag gaye salute to you sir

[@Nomadic_Techie]

Thank you for such a Wonderful explanation. I guess every minute of your video is valuable. And I can totally understand the amount of hard work you must be putting in the background to first understand and then to explain such hard topics in such an easy way that a naive person would understand. And I appreciate you taking care of What, How, and Why in every topic.

[@shreeyagupta5720]

sir.. we are blessed to have a mentor like you...really the content quality is just insane sir, I'm preparing for Gate(Data science) for year 2025. its a heavy request to plz..launch a focused batch for this.🙏🙏 we really need you in this time

[@uttamkp2009]

Really appreciate your efforts to make us educated on Deep learning topic...!!!

[@SowmyaRao-d9g]

Thank you so much for explaining everything in detail. You made such a core concept so easy to understand. One request please complete this series. Would be very grateful and can help me a lot with interviews.

[@maazullahkhanwarsi4311]

Thanks for teaching these complex topics with such great explanations

[@TechSpot56]

Thankyou so much for making such difficult concepts easy to understand for us.

[@archanasingh9803]

just wow! sir you are hidden Gem. such a wonderful explanation and such a genuine person i have ever seen in my life. i really wish for her channel to grow more and more.

[@NabidAlam360]

You are the best!

[@JSR_24]

I don't afford these courses only but with the help of Nitish sir i have completed my deep learning course, thanks you for your dedication and commitment 🎉🎉

[@furry2fun]

amazing explanation , one hour was worth it

[@awe-nir-baan]

Thanks a lot for this wonderful explanation! Nobody simplifies the concepts this way!

[@SamyukthaKaditham]

worth to watch this 1hr video.. deep learning with deepest knowledge

[@OneLove-pf1lq]

sir words are falling short for you undoubtedly you are best.

[@SikandarHussain-z1i]

Fantastic playlist! Nitish sir, you are one of the best teachers I have ever had. Your teaching method is incredibly helpful, not just for Indian students but for the entire region. I humbly request you to complete the DL playlist. I understand that you're working hard to provide us with the best content, but I'm eagerly waiting for your new videos.

[@divyanshupant3892]

best explanation on planet sir

[@bgboy3103]

Giving detailed knowledge for which I was really searching, Many Thanks Nitish, perfect style of explanation...👋👏

[@akashprabhakar6353]

Thanks sir!

[@Sandesh.Deshmukh]

What a video sir!!! Thank you so much for these efforts.❤❤

[@ravindrasinghkushwaha1803]

Thank🙏 for providing the in depth knowledge about transformers

[@trickydotworld]

How you build the things from scratch and take it to the conclusion is amazing. Thank you

[@AmitKumarSingh-n9p]

Thank you very much SIr, Loved the video.

[@AniketKumar-sr9kv]

this video is awesome !! thank you so much for giving such a good explaination

[@amanshah-c6x]

you are too good sir to explain anything

[@NeerajManhar]

Absolutely masterpiece story telling. You create a script sir before starting to record? The content is THE BEST but the flow is nothing less than a masterpiece.

[@shivanampalli253]

The most underrated channel in Machine Learning , don’t worry sir very soon it’s gonna boom continue making such awesome content 🫶🏻⚙️

[@COMRADE_ARMY]

Hope you will complete this playlist as soon as possible, as we are depending completely on you

[@Fazalenglish]

Great, your efforts are very appreciated

[@SubhKhawas]

Sir I am really grateful for your videos on Transformers and in general Data Science domain Just a suggestion please share these explanation files with us as you had shared earlier as all videos are not present in that pdf fie. ❤❤

[@md.emnulmomin7107]

After at the end of each video of yours "I was like man this is an easy concept ! & it was just maths", eagerly waiting for the next videos, and for me I would be very greatful if you make some transformer NLP projects. [for BERT also sir] Thank you for all of your hard work

[@sagarbhagwani7193]

this playlist is goldmine

[@nikhiljaiswal2672]

Does the decoder generates the token to indicate that it has to stop, or it knows that it has to stop and that's why it has to generate the token? Please explain. Thank you.

[@FaisalRasheed-k2o]

Now please make videos on time series analysis with full explanation going very deep inside

[@3python]

I salute your hard work sir ❤

[@deeps-n5y]

As usual - fantastic!

[@charanbirdi]

Thanks for the amazing explanation

[@Ahm77887]

Awesome❤.... Eagerly waiting for next videos.... Please start a LLM model/LangChain playlist also...

[@ComicKumar]

Really appreciate your dedication sir. thank you!!

[@anishkhatiwada2502]

Thanks, your explanation is so much interesting 👍👍👍

[@vankadavathrohith1589]

Great explanation.

[@aditya_69s]

Sir, can you please explain in the next video what will be the 'output embedding' to the decoder model for inference/prediction time? So, we can more relate with masked multi-head attention.

[@B_046_SachinNakate]

@campusx

[@KumR]

Thanks Nitish for the clarity. I appreciate your intent to break the transformer😮 components apart and embed them in our brains in such a way that we will be able to talk about these complex topics like childs play. Such a beautiful way of teaching. You inspire.. BTW, Is all this mentioned in the attention paper ?

[@KumR]

You really are a master blaster

[@jooeeemusic7963]

What a masterpiece I just watched 🙆 Really I'm very much happy that I have found you sir❤️

[@priyanshushukla1295]

sir i really appreciate your way of explaining its the best. However with this rate its going to take a lot of time , we have interviews and also have to work on generative ai projects , hence can you please complete this series faster.

[@DarkLord79799]

Im really waiting for this video

[@yamansaini6379]

Fantastic explanations 🙏🏻🙏🏻🙏🏻

[@agrimkrishna166]

44:36 savage reply!!

[@zeeshanahmed8640]

hi nitish sir, please upload videos about decoder, encoder type transformer fine tuning and also langchain... it will help alot.. looking forward

[@shreyasur1534]

Sir, please make videos on grid search cv , cross validation, linear discriminant analysis, catboost and lightgbm for the ml playlist. Also, sir can you please make your "maths for machine learning" playlist completely free? It would be a great help sir.

[@tcsanimesh]

Aap Bahut badiya ho 🙂

[@DevamRajput07]

Sir , please iss playlist ko poora kardijiye...

[@RamandeepSingh_04]

Beautifully Explained. Thank you sir

[@vkumar9287]

Hi Nitish, You have great command on the topics you have covered. Are you planning to cover Mamba Architecture as well?

[@Sahil-n5u3e]

Sir, let's consider an example: 'Apple is a good company' and 'Apple is a fruit.' In both sentences, the word 'Apple' has the same embedding because we don’t know the next word after 'Apple.' However, the embeddings should ideally be different. How does masked self-attention solve this? Please explain

[@planetforengineers7176]

Just amazing sir thank you so much

[@aakashmehta7336]

Hi Sir, Great knowledge in your videos, kindly request you to start a series on Llm models, or will you be taking that as a part of this series?

[@srinivaspadhy9821]

Sir Salute to you, for your hard work. Really amazing. It feels like you are god gifted for us. Sir Please Complete Computer Vision after this. Please Please Please as you have promised during the start of CNN to complete the Computer vision at end.

[@SandeepSingh-yx2si]

Excellent Video and classic learning

[@DibyarupPal]

Please make a video on BERT and ViT. It will be very helpful for us.

[@shafai100]

Excellent stuff man! Thanks for the effort. Do monetize these stuff. Will pay.

[@KaranDabas-em8vz]

best approach sir

[@heaven8450]

No Doubt, Your a Legend

[@technicalhouse9820]

Sir please complete the playlist in this summary till Sept

[@b16shashwatmandal62]

It would be great to have the code of masked multi head and masked self attention as well ....

[@princekhunt1]

Nice explanation, Please complete full series. Placement season is so close. Can you tell us how many videos remain approx.??

[@HellRuler-z5f]

Really excited for the next video.

[@sagarbhagwani7193]

what an approach sir

[@VikrantPundir-gk6qz]

Thank you so much sir

[@1111Shahad]

Thanks Nitish

[@gender121]

Hi! Nitish Please. complete the transformers series immediately as we are waiting since a long......

[@akashrathore1388]

Sir please create a supplimentry video on module and package because its little bit confusing the only one topic that left from python playlist

[@rotnodipsarkar4797]

thank you!

[@anshkapoor4990]

best ???? YOU ARE BESTUM BESTTTTTTT 🔥🔥

[@charanpoojary4804]

you are the best

[@lokeshsharma4177]

THANK YOU Very Much. How can somebody reach out to you where they can surely get 1-2-1 time / personal responses

[@sharadsisodiya3853]

sir everything is going on its right path but i have more confusion with autoencoders and with its types like variational auto encoder , does auto encoder is same as encoder decoder architecture vise or they have difference please make a video and give us a high level of overview please its a request to , i saw many videos but i am not getting it intitution nahi aarha uska

[@100NI__PRITAM]

best explanation

[@rajsharma-bd3sl]

My question here is that , during inferencing or prediction we are performing complete different approach that is Sequential approach or time step approach or autoregressive approach. We are not using parallel approach then what's wrong with this parallel approach during training if we are using a seqential approach during inferencing ? And we are able to do this with masked attention, why don't we do inferencing with the same approach of masked attention ? or in simple words why don't we use Masking concept during inferencing ?

[@yogeshkhairnar5822]

sir now it's day 13 to upload this video we are waiting to complete this DL playlist please upload next videos till GAN is remaining we are heavily depend on this playlist

[@vinayakbhat9530]

excellent

[@meherunfarzana]

I can see that your hair has turned from black to grey completing this amazing playlist. Please complete it as soon as possible! Waiting for the next videos!

[@ImranAli-s1u]

Hi sir I'm a big fan of your videos, and learn a lot from it. I have one request from you, as I'm watching videos from Pakistan and unfortunately i can not understand sentences written in Hindi, so can you please use English alphabets to write Hindi sentences like "Ap kese hai"?? Many thanks