What is Multi-head Attention in Transformers | Multi-head Attention v Self Attention

What is Multi-head Attention in Transformers | Multi-head Attention v Self Attention | Deep Learning

Рет қаралды 12,088

Күн бұрын

Multi-head Attention enhances the expressiveness and representational capacity of Transformers by allowing the model to attend to different parts of the input data simultaneously. By utilizing multiple attention heads, the model can capture diverse patterns and relationships in the data, enabling more effective information processing and feature extraction. This mechanism enhances the model's ability to handle complex sequences and tasks in natural language processing and other domains.
Viz Tool - colab.research.google.com/dri...
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✨ Hashtags✨
#Datascience #NLP #Chatgpt #CampusX #Multiheadattention
⌚Time Stamps⌚
00:00 - Intro
01:05 - Recap - Self Attention
06:33 - The problem with Self attention
11:20 - How does multi head attention work?
19:55 - How is Multi Head attention applied?
27:37 - Multi head attention visualization

Пікірлер: 84

@fahimshahriar143 2 ай бұрын

Please sir complete the Transformer playlist as soon as possible; We are eagerly waiting for this playlist. and also include vision transformer and self supervised learning in the playlist.

@muhammadsajad2230 2 ай бұрын

Please also explain vision transformer and self supervised learning.

@ashutoshpatidar3288 2 ай бұрын

Please after transformer series, i request to please cover Vision transformers and stable diffusion like techniques!!

@faizanar9358 Ай бұрын

Hello Nitish, Following your complete playlist for enhancing my skills and take a leap towards GenAI. Eagerly waiting for your upcoming videos on the complete Transformer Architecture. Hope we see them soon in this playlist. Cheers.

@shaileshtripathi7773 2 ай бұрын

Aap pehle kahaan the sir,ab AI seekhne mein mazaa aa rha.What a teacher!!

@just__arif 2 ай бұрын

Thank you Sir, atleast complete the Transformer in next 20-30 days!

@parth.mandaliya 2 ай бұрын

Finally another installment is here

@rb4754 10 күн бұрын

Thank you for this lecture Nitish... mindblowing as usual...

@mayyutyagi 4 күн бұрын

It is a great explanation of Multi head attention.

@Deepak-ip1se 12 күн бұрын

Thankyou for adding visualization!!

@nehagupta5243 2 ай бұрын

Thanks a lot Nitish. Can you also talk about residual connections and backpropagation in this model.

@abdullahnaeem119 Ай бұрын

Please complete the Transformer playlist as soon as possible; We are eagerly waiting for this playlist. and also include vision transformer and self supervised learning in the playlist.

@geetakashyap411 2 ай бұрын

We are eagerly waiting for your videos Amazing teacher thankyou for all your efforts

@reevasharma9714 2 ай бұрын

please make video on data representation in deep learning like AST ...please

@bhavikpunmiya9641 2 ай бұрын

Sir you're Legend after completing this playlist till now, i need to complete this topic transformers, so i was watching other youtube channels those are also really popular channels, They have skipped many thinks like why Under root of ( dimensions ) ? , why we need q, k, v vectors ?,why we need multi head attention ? by simply saying it was tried and experimented in research paper "Attention is all you need" ! But i have watched your's video so it became very easy to know self attention and transformer architecture. Thank you so much Sir !!

@puyushgupta1768 2 ай бұрын

Sir need implementation of multi head attention also in tensorflow.

@srinivaspadhy9821 2 ай бұрын

Latter after the thoert gets complete , please upload fine tuning of various LLM models and their practicals sir please.

@hashlycomedy3819 2 ай бұрын

Sir RAG par ek video chahiye pura detailed !!

@user-gt9vb6xt9d Ай бұрын

Please Sir complete the transform especially (complete architecture) topic as I have a exam on 31st May and this topic is included it will be very helpful. Thanks Love from Pakistan

@LijinNadar-xj3mu 2 ай бұрын

thank you very much sir

@hashlycomedy3819 2 ай бұрын

waiting for this only :)

@raviparihar3298 Ай бұрын

sir we have placement season from next semester, please upload the videos regularly of 100 days of Deeplearning.

@ghousepasha4172 Ай бұрын

Sir jee please , u will create history in india , please upload lectures regularly

@AsadAli-sh6cn Ай бұрын

so so good sir,,,,,

@AnkitGupta-rj4yy Ай бұрын

❤❤ Perfect explaination

@muhammadaarij4759 Ай бұрын

waiting eagerly for positional encoding video!!!

@RakshithML-vo1tr 2 ай бұрын

Sir please give a update about your deep learning/ai course which you were about to launch we are not demanding a video at least you can give through community post and you had said in the DATA SCIENCE OR AI video that you will provide roadmap but still you didn't even do that sir please we students are really waiting for your response please respond sir please 🙏🏻🙏🏻🙏🏻🙏🏻🙏🏻

@sagarbhagwani7193 2 ай бұрын

Thankusomuch sir

@not_amanullah 2 ай бұрын

This is helpful 🖤

@kanpuriyakattarhindu1610 Ай бұрын

Please describe training process of LLM model

@royroyroyroy Ай бұрын

Sir please make a video on cross attention.

@DattatreyaNHalyal 2 ай бұрын

Can u plz do videos on retinex theory which is essentional for image processing

@arpitpathak7276 Ай бұрын

Sir please continue this playlist ❤

@muhammadikram375 2 ай бұрын

sir please 100 days of MLOps playlist par work kary🙏🏻🙏🏻

@EMWave 2 ай бұрын

As usual good explanation. Kudos to you. Question: How does the Q, K, V metrics are chosen in multi head, so that each one captures different meaning in a sentence? In other words what triggers in Q, K, and V metrics which triggers capturing different meaning when input is same. Thanks

@izainonline 2 ай бұрын

Thanks❤

@noneone6207 2 ай бұрын

Sir will you please upload a video on seq2seq translator or chatbot practical implementation?... You haven't uploaded any seq2seq practical implementation yet and it'd be helpful in learning these transformers

@Mon_isha09 2 ай бұрын

Please upload some practical implementation videos

@mayyutyagi 4 күн бұрын

Very nice video

@subashchandrapakhrin3537 2 ай бұрын

Hai Nitish Can you make video on Diffusion Model.

@ArabindaPanda-dk5is Ай бұрын

please, sir ....post the following videos of Transformers.we are eagerly waiting

@Amanullah-wy3ur 4 күн бұрын

this is helpful 🤗

@rose9466 2 ай бұрын

Sir can you tell which topics in deep learning playlist are imporant for entry level. Im preparing for interview, I dont have time to go through all vdeos.

@Amanullah-wy3ur 4 күн бұрын

thanks ❤

@rose9466 2 ай бұрын

Sir can you make the video on roadmap of ai engineer

@aditiseetha1 2 ай бұрын

Beautifully explained!

@WIN_1306 5 күн бұрын

like you

@beyourownboss3414 Ай бұрын

It's a humble request please complete the playlist

@shibrajdeb5177 12 күн бұрын

Sir ek video banake app 1 month video nahi dalte please sir regular video daliya

@ghousepasha4172 Ай бұрын

Sir we are ready to pay , please upload sir , we study very seriously please upload regularly

@AmitBiswas-hd3js Ай бұрын

Please sir complete this transformer playlist.

@CoolPaanda Ай бұрын

waiting for next video

@ChandrakalaKurubaTechieStuffs 2 ай бұрын

Boss is back

@sonalgandhi2154 2 ай бұрын

Can you provide the code of multihead attention

@shobhitsingh6330 2 ай бұрын

100 days of DL mein ye 76th lecture hai. Aur kitne lectures reh rahe hain aur kabtak poori hogi yeh playlist?

@shivombhargava2166 2 ай бұрын

Deep learning khud poori nahi hui … to playlist kese poori ho jaegi … its all in development phase, so are the lectures

@shobhitsingh6330 2 ай бұрын

To phir bhi aur kitne lectures aayenge?

@Srujanami_Gyanh Ай бұрын

Next Part Please 😢...

@Top10collection 2 ай бұрын

Sir one doubt: will you please gathers all the doubts fromt he comments of last 5 lectures on attention.. My question is this Wa Wq and Wv metrics how we will get it i understand from you that we get it from the data but how we get it from the data? It didn't make any picture will please clear this doubt

@shashank5034 Ай бұрын

Check out the lecture- Self Attention in Transformers. Basically we do the linear transformation to make 3 vectors(Q,K,V) from 1 vector(Embedding vector). We start with random numbers in he metrics-> check the error-> backpropagate -> update the numbers in metrics

@listentomusic8160 2 ай бұрын

Please add month base subscription for DSMP 2 😢😢

@sapandeepsandhu4410 2 ай бұрын

u are GOAT

@tusharmisra8401 2 ай бұрын

Can you make a separate playlist on Stochastic processes in python?

@WIN_1306 5 күн бұрын

canu explain what it is little bit and how do you came to know about it

@MayankSi Ай бұрын

Please sir complete fast, i know this content takes time but if we will wait 1 month for a video then what we will do remaining days, our time will be wasted and i don't want to switch to any other channel

@bishambarsharma6414 2 ай бұрын

Sir, I have questions and the questions is, the math we learned in class 11 & 12 are enough for data science or not.

@youtubevanced11 2 ай бұрын

It's not enough u need to learn more about probability,statistics,multivariable calculus

@bishambarsharma6414 2 ай бұрын

@@youtubevanced11 could you tell, where I can study all these?

@abdulaziz-vm7yh 2 ай бұрын

Just start learning data science and u will learn it automatically. Just don't take seperate time for maths again

@Amanullah-wy3ur 4 күн бұрын

🖤

@parth.mandaliya 2 ай бұрын

Please don't take the entire month to upload a new video 🙏

@himeshsarkar3259 2 ай бұрын

It Takes huge effort to create such detailed videos man.

@ashutoshpatidar3288 2 ай бұрын

Its not easy to make such detailed videos, takes lots of time!!

@parth.mandaliya 2 ай бұрын

Agreed, not denying that at all. Huge gratitude for making this public rather than keeping these videos members only or part of some paid course. It's just a request while keeping in mind that he has quite a lot of other things as well for example the hiring that he is doing right now.

@not_amanullah 2 ай бұрын

Yes😢

@akeshagarwal794 Ай бұрын

Once hiring is done we can see more courses on this channel I guess🤞🎉❤️