Dear Nitish, I am writing this comment to express my heartfelt gratitude towards you and CampusX. You have been instrumental in my journey from a beginner to an intermediate level in data science. Your videos have been a constant source of knowledge and inspiration for me. I have watched all your videos and eagerly wait for new ones. Your teaching style is unique and makes complex topics easy to understand. I cannot thank you enough for all the effort you put into creating such amazing content. I would also like to request you to create more videos on deep learning, MLOps, and machine learning projects end to end. Your videos have helped me gain a solid foundation in data science, and I am confident that your expertise in these areas will help me and many others like me to take our skills to the next level. Your videos are not only informative but also engaging and fun to watch. I am sure that many others would benefit from your knowledge and experience in these areas. Once again, thank you for all that you do. You are truly making a difference in the lives of many aspiring data scientists like me. I look forward to watching more of your videos and learning from you.
sir, you can't believe that you are the only teacher from whom I have learned the ML and DL. I have seen so many videos that are available on youtube. But nobody gives that much in-depth knowledge, or mathematical intuition like you. Thank you so much for your hard work🙏. please cover up to GenAI. it's our heartful request.
They say teaching is an art, and you are the artist of ML and DL. You teach better than most of the IITs' faculty. Thankyou sir for making this playlist. I have seen your so many videos, that you have started coming into my dreams😅😂.
No one generally dare to touch such advanced topics, but if they will, they just touch it helf heartdly without much details. But you dare to attempt it and not only this you did go deeper and explained them with every minute detail. Hats off to you Nitish... You are a GOAT !!!! Keep up the good work. waiting for next videos of this series!!!!!!!
from so many years I have been trying to understand attention mechanism in theory. watched so many other tutorials, but finally.. I've understood. thankuuuuu....
43:04 sir Si pe transpse krne se output 4x4 aega na transpose Hj pe krna hoga taky 1x4 dot product ho 4x1 se output me 1x1 ae jo scalar ho Please answer this confusion
This is really a very helpful video for my deep learning journey. Thank you so much for your hard. The way you teach is really awesome. I have a humble request as I have to sit for placements after 2-3 months. please complete TRANSFORMERS at least sir. @campusx
We are waiting for next DL video. We also know you are trying to start a course and your attention is diverted to ML ops, but please spare some time for this playlist also.
My only concern is that how is it maintaining the meaning here , because grammar for every language is different which means word orders are different in input and translation ; light band kro in english is turn of the lights ; How is it maintaining the meaning here. Please answer. I have followed whole playlist but I m unable to understand how is grammar being maintained in translation
Your content is very nice and deserves many views. Your content is underrated. One reason I see for this is consistency. You put videos on random periods. For example, if you are starting a new playlist, do all the homework, recording pehle se hi, then periodically say every friday you release the video. Ye viewers k wait ko ek direction dega and they will stick to your playlists. Good Luck!
Awesome... finally Deep Learning started again. Waiting for the GAN concepts. + MLOps... Sir koi course paid bhi karna hai tob kardo... but please upload regularly
Hi Nitish, I have a question. Is there any similarity between embeddings of two different languages when we talk about machine translation. Is it the way machine learns the context and arrangement of words?
No, both can be very random, only thing that depends is the adjustment of weights and biasness. Embedding lowers the dimension therefore easing our calculation.
Dear Nitish,
I am writing this comment to express my heartfelt gratitude towards you and CampusX. You have been instrumental in my journey from a beginner to an intermediate level in data science. Your videos have been a constant source of knowledge and inspiration for me. I have watched all your videos and eagerly wait for new ones. Your teaching style is unique and makes complex topics easy to understand. I cannot thank you enough for all the effort you put into creating such amazing content.
I would also like to request you to create more videos on deep learning, MLOps, and machine learning projects end to end. Your videos have helped me gain a solid foundation in data science, and I am confident that your expertise in these areas will help me and many others like me to take our skills to the next level. Your videos are not only informative but also engaging and fun to watch. I am sure that many others would benefit from your knowledge and experience in these areas.
Once again, thank you for all that you do. You are truly making a difference in the lives of many aspiring data scientists like me. I look forward to watching more of your videos and learning from you.
sir, you can't believe that you are the only teacher from whom I have learned the ML and DL. I have seen so many videos that are available on youtube. But nobody gives that much in-depth knowledge, or mathematical intuition like you. Thank you so much for your hard work🙏. please cover up to GenAI. it's our heartful request.
They say teaching is an art, and you are the artist of ML and DL. You teach better than most of the IITs' faculty. Thankyou sir for making this playlist.
I have seen your so many videos, that you have started coming into my dreams😅😂.
No one generally dare to touch such advanced topics, but if they will, they just touch it helf heartdly without much details. But you dare to attempt it and not only this you did go deeper and explained them with every minute detail. Hats off to you Nitish... You are a GOAT !!!! Keep up the good work. waiting for next videos of this series!!!!!!!
Sir G, You are not just Data Scientist, You are also a good communicator and explainer,
Thank you sir G
Please pace up the deep learning playlist as people who cant afford buying your courses...your free playlists are boon
Finally your video is here
Sir trust me your videos are like a festival for me
i just feel so excited when i got notification from youtube
Sir please cover finetune of transformer model as well, pls cover concepts like whento use which architecture.
Thank you very much ❤
Hi Please cover topics like transformers ,BERT Architecture & implementation☺🤩
from so many years I have been trying to understand attention mechanism in theory. watched so many other tutorials, but finally.. I've understood.
thankuuuuu....
Please make video on Reinforcement learning! TIA!
Thank you so much ❤. Please cover topics like transformers ,BERT etc
43:04 sir Si pe transpse krne se output 4x4 aega na transpose Hj pe krna hoga taky 1x4 dot product ho 4x1 se output me 1x1 ae jo scalar ho
Please answer this confusion
GOATED Channel, waiting for BERT,Transformers and LLMs
your teaching style is so good. Thank you for such videos where you explain these tough topics in so easily.
This is really a very helpful video for my deep learning journey. Thank you so much for your hard. The way you teach is really awesome.
I have a humble request as I have to sit for placements after 2-3 months. please complete TRANSFORMERS at least sir. @campusx
I eagerly wait for your videos! Your lectures are always so in-depth. Thank you for providing these videos here ❤. Waiting for Transformers
One of best DS learning platform 😊
We are waiting for next DL video. We also know you are trying to start a course and your attention is diverted to ML ops, but please spare some time for this playlist also.
BLESSED!!! :)))
way to become the largest youtube channel in deep learning >>>>>>>>>>>>
1k subscribers per 2 day >>>>>>>>>>>>>
My only concern is that how is it maintaining the meaning here , because grammar for every language is different which means word orders are different in input and translation ; light band kro in english is turn of the lights ; How is it maintaining the meaning here. Please answer. I have followed whole playlist but I m unable to understand how is grammar being maintained in translation
anybody here who bought Data science mentorship program 1.0
Yes I am
Hello Sir. Can you please create a video on project named facial emotion recognition using CNN with deployment. Please 🙏
Fantastic explanation but sir request you to implement this through code
In one neuron how do you get four [e11, e12, e13, e14] this is not fair.
Much awaited.. 🎉
Please complete this playlist asap..
Interviews are aligned..
Projects konse kiye ho bhai NLP ke?
Your content is very nice and deserves many views. Your content is underrated. One reason I see for this is consistency.
You put videos on random periods.
For example, if you are starting a new playlist, do all the homework, recording pehle se hi, then periodically say every friday you release the video.
Ye viewers k wait ko ek direction dega and they will stick to your playlists.
Good Luck!
your videos are truly the gem of deep learning! the clarity in your expression>>♥💕 a highly underrated channel!!!
Thanks
Thanks sir for everything
First complete one series than jump on other like ml ops vrna jihone isse padna start kra vo atak jate ha
Nitish sir please complete quickly 100days of deep learning playlist please sir.
Thank you for your efforts sir
Your videos are great, similar to sun giving light to all of us
Sir, Please make a tutorial on Reinforcement learning in Hindi please
nice video. really amazing. thanks alot
Sir, your teaching style is so good.
One request pls add some code demonstration too like your earlier videos
Ek hi dil kitne baar jeetoge sir?😍
BUT JAB HUMNE CONTEXT VECTOR DECORDER ME BHEJA HI NAHI HAI TOH FIR "So" KAHAN SE AA GYA...WO TOH FIR KOI RANDOM VECTOR LENA PADEGA NA USKE LIYE🤷🤷🤷
Sir already Told it.
s0 can be random or h4
sir if your face video also be presented in the entire video it would be great.
Thanks a lot sir for being there on earth.
Create a video implementing the paper: Internet Explorer: Targeted representative learning on the open web . It would be quite interesting
please try to cover code part that will be awesome
Awesome... finally Deep Learning started again. Waiting for the GAN concepts. + MLOps... Sir koi course paid bhi karna hai tob kardo... but please upload regularly
I have seen many videos on attention, but this is one the easiest video to understand attention (both Bahdanau and Luong)
Thanks for this video ❤
feels like back into jee times.
Happy Teacher's Day sir🎉
Sir please complete it a little fast
Mara youtube history ma serf 2 channel ke video hota h One is your Sir.
Respect SIr
Brilliant Video❤❤
♥♥♥♥♥♥♥♥♥♥♥
❤🎉
Can you please make a video on diffusion models??
❤❤❤❤❤❤❤❤
🤯
Sir is this playlist for deep learning complete? I mean does it cover entire syllabus??
❤
amazing stuff
We all apperciate your efforts sir,
THANK YOU🙏🙏
please upload videos as fast as possible sir,
thank you for great content 🫡🙏🏻
Thanks sir i am waiting for next vedios
Sir 😊 Course was very good I learn very much about Deep Learning and practice it
Understood++
Understand++
next
please
Thanks a lot for sharing all the valuable information in such great depth with clarity..
Hi Nitish, I have a question.
Is there any similarity between embeddings of two different languages when we talk about machine translation.
Is it the way machine learns the context and arrangement of words?
No, both can be very random, only thing that depends is the adjustment of weights and biasness. Embedding lowers the dimension therefore easing our calculation.
Amazing
Thank you so much for this video ❤️
great efforts sir !!
Thank you sir 🙏
Thank u sir💝💝💝💝
🙏guru g thanks for making awesome videos
Thank you so much Sir
No voice. please correct it sir
Wait for 10 mins, it's in processing
Top notch content
apprecited
❤
No audio in the video
Also, no video in this video
This is best, no on ecovers these attention ever! You are a gem