Hey, Nitish sir, I am Harsh Singh a 13 year old Deep Learning Practitioner (I am serious), and I have completed your Deep Learning Playlist, and I loved, the very easy language that you taught in was just amazing, and TRUST ME WHEN I SAY YOUR COURSE IS THE BEST, AND NO ONLINE PAID COURSE HAS A MATCH AGAINST YOU. !! YOU ARE THE BEST!!!
Hey, I'm 16. I have started coding when I was at your age and I have mastered web development and now here i'm mastering nlp. One thing, have you learned machine learning because it is core requirement for deep learning? If you haven't i will advice you to first learn that. If you already have then you should focus on deep learning. and also you need to set a goal like in how many days you will finish these concepts and don't forget to do some projects. Good luck!
Bro, your teaching style is awesome. One more thing that you did not hesitate to record in Hindi where more people are creating content in English. hats off!
The way you are explaining is an excellent .... It would be great blessed if you cover LLM, transformer, GPT and Bert in simple way etc... Waiting for these videos .... We are so blessed and grateful for having you in our roadmap of great career ... Thank you so much Nitish .... Lots of Respect :)
You have explained it in an excellent way. 1 thing which I want to mention is that dimensions of vector and number of elements are different thing. [1,2,3,4] Is 1d vector or 1d array. [[1,2,3],[4,5,6]] is 2d vector or 2d array
Hello Nitish ji, I am a civil engineering phd student. Learning the deep learning from your playlist to get an insight into regression capabilities of ML and DL. Can you please create a tutorial video on application of latest architectures of LSTM, GRU, simple RNN and use of various optimisers in ML specifically for regression using a dataset. Would be of a great help to plethora of engineers waiting in hope of such a content as your channel. huge thanks in anticipation
awesome as always! one request: if possible, I'd recommend to make one video in the end that summarizes the major architectures in this playlist, along with their pros and cons and when to use what most ML system design prep interviews ask for these types of questions and its imp to know the tradeoffs while choosing a model
Sir, Nitish we value you in fact you make videos with great effort and research. I liked your video and subscribed to your channel because no one has explained the concept of G R U so well in Hindi language. From such a good intro, every single thing was explained in a very nice intuition. I am very Thankful to you You are requested to bring a detailed video lecture on the attention mechanism that processes the sequential model as soon as possible.
Wow much needed one.. it came out at the right time for me 😊 m in the process of learning NLP. Thank you so much Sir.. I love your teaching .. your one video is enough to build the concept in depth .. Thanks a lot.. time and effort you take to put these together is really appreciated… 🙏🏻
hi nitesh , could you please explain how rT and zT are not the same values or vector , because we are calculatin zT before sunbtratict it from 1 and the same way we calculate rt before doing any opration on it , so what im thinking is reset gate and update gate are the same vector before adding any opration on it , right or wrong ? Anyone
Hi Nitish, When calculating ht, I have observed that it is essentially EWMA of previous timesteps and h~, and Zt is acting like beta am i correct on this?
Somewhere at 53 min, u had mentioned that combining h(t-1) and x(t) will make r(t). This is understood. But after that u had combined r(t) and h(t) and its output is r(t) * h(t-1). This is not understood as we dont have any info of h(t) as of now. Do we need to consider h(t-1) instead of h(t)
Hey, Nitish sir, I am Harsh Singh a 13 year old Deep Learning Practitioner (I am serious), and I have completed your Deep Learning Playlist, and I loved, the very easy language that you taught in was just amazing, and TRUST ME WHEN I SAY YOUR COURSE IS THE BEST, AND NO ONLINE PAID COURSE HAS A MATCH AGAINST YOU. !!
YOU ARE THE BEST!!!
Hey, I'm 16. I have started coding when I was at your age and I have mastered web development and now here i'm mastering nlp. One thing, have you learned machine learning because it is core requirement for deep learning? If you haven't i will advice you to first learn that. If you already have then you should focus on deep learning. and also you need to set a goal like in how many days you will finish these concepts and don't forget to do some projects. Good luck!
bhai dono kyun lie kr rhe ho
bhai jaake suraj dekh
Bro, your teaching style is awesome. One more thing that you did not hesitate to record in Hindi where more people are creating content in English. hats off!
The way you are explaining is an excellent .... It would be great blessed if you cover LLM, transformer, GPT and Bert in simple way etc... Waiting for these videos .... We are so blessed and grateful for having you in our roadmap of great career ... Thank you so much Nitish .... Lots of Respect :)
One of The bestttt Teacher .....Thank you sir!!
Best GRU lecture in the Universe.Thnx to nitish sir for this outstanding explaination .
Please Quickly complete this Playlist. upload videos on daily basis ❤❤❤❤
Superb content 🎉
Love from Pakistan 🇵🇰
I literally wait every week for these
You have explained it in an excellent way. 1 thing which I want to mention is that dimensions of vector and number of elements are different thing. [1,2,3,4] Is 1d vector or 1d array. [[1,2,3],[4,5,6]] is 2d vector or 2d array
It's really crazy ki kaise ek code ek paragraph ke sentimental ko analyze kr pa rha hai..!
Great Explanation..!
Hello Nitish ji, I am a civil engineering phd student. Learning the deep learning from your playlist to get an insight into regression capabilities of ML and DL. Can you please create a tutorial video on application of latest architectures of LSTM, GRU, simple RNN and use of various optimisers in ML specifically for regression using a dataset. Would be of a great help to plethora of engineers waiting in hope of such a content as your channel. huge thanks in anticipation
awesome as always!
one request: if possible, I'd recommend to make one video in the end that summarizes the major architectures in this playlist, along with their pros and cons and when to use what
most ML system design prep interviews ask for these types of questions and its imp to know the tradeoffs while choosing a model
yes,it would be helpful
Sir you are best teacher and mentor i got in my AI journey thanks for your amazing content
Honestly.. Without a background like this, no one will really understand such concepts easily..... Nitish made things so simple.... Wow..
Nitish Sir
Kudos for you .
Do you know this is the best GRU content i ever seen on internet, Even better than paid content.
Sir, Nitish we value you in fact you make videos with great effort and research.
I liked your video and subscribed to your channel because no one has explained the concept of G R U so well in Hindi language. From such a good intro, every single thing was explained in a very nice intuition.
I am very Thankful to you
You are requested to bring a detailed video lecture on the attention mechanism that processes the sequential model as soon as possible.
Wow much needed one.. it came out at the right time for me 😊 m in the process of learning NLP. Thank you so much Sir.. I love your teaching .. your one video is enough to build the concept in depth .. Thanks a lot.. time and effort you take to put these together is really appreciated… 🙏🏻
The way you talk is amazing
Thanks a lot sir 🙏🙏
Crystal clear explanation👌
your videos are LOOKING LIKE A WOW!
thank you so much for continuing
please keep going and finish this playlist
much support and respect 😄
Thank you for a resourceful video and learning 🎉
Nicely Explained, In very simple language you demonstrated the GRU, Thanks
Happy Teacher's Day Sir Nitish
Clear and nice explanation 🤞🏻 Much power!!
aag laga di bhai jaan nae
Amazing 👍
Do a project to build a complete end-to-end chatbot using the Large Language Model and explain how the Large Language Model is built and how it works.
Awesome …! bow down to your hard work to deliver this much of detailed info
thanks for explanation.
best teacher on utube
amazing sir
Thanks for your content sir
Happy to see you back😍🥳
Great Teaching
Great🎉❤
Complete as soon as possible ❤
Thank you sir ❤ for your efforts
Thank you so much sir!!!
Amazing Video ❤ , One of My Fav Channel❤ Also Fav Sir Nitish ❤
Sir aapke vikram ke story se gangs of wasseypur inspired hai! 😂😂
Hey Nitish
I love your explanation for these videos. I think at 52:05 in the flowchart, shouldn't it be ht-1 and rt that are pointwise multiplied?
yeah it is correct i guess, it should be ht-1 only
Guys at time stemp
52:15 / 1:26:21
What is hiddent state?
there is some typo nitish bhiya wrote ht in place of ht-1 plz currect that 😊
Thank You Sir.
Thanks a lot,,,you should make a routine for this playlist,,,,
Thank You
You are the best nitish sir❤️🙏 Thankyou so much.
sir please continue upload video on deep learnin( rnn) and please complete NLP playlist cover NLP advance topic
great
Damn, you are next level
hi nitesh , could you please explain how rT and zT are not the same values or vector , because we are calculatin zT before sunbtratict it from 1 and the same way we calculate rt before doing any opration on it , so what im thinking is reset gate and update gate are the same vector before adding any opration on it , right or wrong ? Anyone
The weights in the neural network layers of both will be different.
excellent content sir 🙏🏼. can you make videos on YOLO models please?
Sir pls upload the videos lectures of deep learning stage four encoder decoder , attention mechanism and transformer
Nitish Sir posts a video.....I watch
❤❤❤❤❤❤❤❤
Plz make more case studies on companies using AI/ML
1st like 1st view 1st comment😋
@campusx I have one question why we use sigmoid and tanh in hidden state as activation function? why we are not using others?
sir could you please provide the notes also the one you have used in the video it would be very helpful.(the same hand notes).
Please cover vit and...image classification using lstm
Hi nitish, can you do one on Vision transformers pls
Please upload a detailed explanation video on SVM
Nice Explanation
❤❤
Hi Nitish,
When calculating ht, I have observed that it is essentially EWMA of previous timesteps and h~, and Zt is acting like beta am i correct on this?
🤯
can you please provide notes link ?
anyone please can also share if they have made notes !!
Thank you
As a fresher what to choose full stack developer vs data scientist
Can anyone tell me...can we this model for image classification
sir update deep learning playlist continue video on encoder decoder architecure
Sir can you make a video on Pytorch like to build it from scratch a model using Pytorch...
Learn pytorch from this playlist
czcams.com/play/PLhhyoLH6IjfxeoooqP9rhU3HJIAVAJ3Vz.html&si=VT_kKoBBLBR4QhmT
Somewhere at 53 min, u had mentioned that combining h(t-1) and x(t) will make r(t). This is understood. But after that u had combined r(t) and h(t) and its output is r(t) * h(t-1). This is not understood as we dont have any info of h(t) as of now. Do we need to consider h(t-1) instead of h(t)
52:08 I think it's ht-1 instead of ht
ht should be (1-zt)*ht_bar + zt*(ht-1)
plz add resource from where to complete Advance NLP like bert and others . Need to cover for final year projects.Btw informative video thank Sir
Please Sir can u upload DSA with python leftover content
East aur west...CampusX is best
from where i can get these slides
You can not
u can
Am I only one who thinks that LSTM were much simple to understand than GRU🙄😶
sir is this course going towards NLP or CV ?
Your channel reach got low 😢,
maybe because you're absent for some days...
Comeback again sir if you have time___
❤
Can I skip gru if I know lstm
in last story it was xyz not kalli :)))