Problems with RNN | 100 Days of Deep Learning

[@KumR]

The best part is Nitish uses "Hinglish" which makes folks who understand it comfortable.. Unfortunately people who dont understand Hindi are missing this.

[@prodigy4836]

I am currently a working AI engineer at a computer vision company. I have taken multiple deep learning courses throughout my journey ranging from MIT, Stanford lectures to regular youtube channels. And I am being completely honest here that I have found your way of teaching, explanations to be the MOST Intuitive and easy to understand. Please keep up the good work. You are helping loads of students out there who like me, find it difficult to grasp such complex concepts. Cheers!

[@abdulqadar9580]

Need some guidance. Can you help?

[@AvadhootKabadi]

25:40 Bhai bhai bhai, meko sirf pata tha ki vanishing gradient hota hai, aaj pata chala ki kyu hota hai Superb explanation sir ❤‍🔥❤‍🔥

[@utkarshsinha4594]

Sir please RNN ki videos puri bna dijiye.... Regular basis me... Bohot wait krna pdta h.... Aapki deep learning playlist sbse best h... Thank you sir

[@adarshchanewar4937]

yes sir we are waiting for your deep learning playlist please upload videos

[@muzaffarnissar1978]

Waiting for the next lecture of deep learning series. Thank you so much for all your efforts.

[@geekyprogrammer4831]

Please complete this series. It is not even half way though 😢 I am asking because you are the best teacher among all!

[@mj-2468]

yesssssssssssss pls sir @CampusX

[@hndangi.2677]

Yes please complete it 😊

[@jayeshmandavkar9837]

Sir please complete this playlist as soon as possible we are waiting for the content. Along with your data science mentorship program please keep on pushing this playlist as well sir.

[@pradipsanap780]

I complete whole playlist. It is wonderful with GREAT explaination in hindi. I enjoyed it. THankyou sir. Your teaching is supperb.

[@abdulqadar9580]

Thanks sir for giving for such a important knowledge in a best way.

[@yuxrazafar8532]

just kamal... no one explains these intuitive things using math... this approach really actually makes sense and gives clarity how and why things are working.. thank you for helping us!

[@Mahesh-h8x7d]

Sir, please continue the playlist waiting for next lecture.... Loved the way you teach

[@thelife5628]

Sir we request you to please complete this playlist.... This is one of the best playlist on YT for Deep Learning

[@sidharththakur1090]

The script discusses problems with RNN, including gradient clipping to prevent exploding gradients, the impact of long-term dependency on model performance, and the vanishing gradient problem in neural network training. It emphasizes the importance of understanding gradient descent and exploring different activation functions to optimize neural network training and reduce long-term dependency. Key moments: 00:00 Understanding the long-term dependency problem in sequential data and the vanishing gradient problem in neural network architectures is crucial for model performance. -Long-term dependency in sequential data affects model performance by hindering the ability to remember distant past information. -The vanishing gradient problem impacts neural network training by causing gradients to become extremely small, hindering learning in deep architectures. 08:38 The video explains the backpropagation process in neural networks, emphasizing the calculation of loss and weight updates to improve training. It also highlights the importance of understanding dependencies between input and output in neural network training. -Backpropagation involves minimizing the loss function by calculating derivatives with respect to weights, updating them iteratively for better model performance. -Understanding gradient descent and its role in updating weights is crucial for optimizing neural network training. 17:47 Understanding and reducing long-term dependency in neural networks is crucial for improving gradient calculation and overall performance. -Long-term dependency can lead to delays in neural network outputs, impacting performance. -The contribution of short-term and long-term dependencies affects the output and gradient calculation in neural networks. -Reducing long-term dependency can be achieved by exploring different activation functions in neural networks. 26:53 Managing gradients is crucial to prevent exploding gradients and ensure efficient model training in machine learning applications. -Gradient clipping helps limit gradients to prevent exploding gradients and stabilize model training. -ELU activation function architecture can help solve gradient-related problems in machine learning models. Generated by sider.ai

[@ramsu8220]

the best playlist for learning Neural Network, I completed the entire playlist...sir please add more videos to this playlist like LSTM, GAN, YOLO algorithm and more projects on neural networks...would love to learn those from you...thanks for this amazing playlist sir❤

[@gauravupadhyay4221]

Sir , Plss complete the playlist I am very much awaited for the complete deep learning course by u sir I think no one can teach like u in youtube U are doing a great job sir Plss complete this playlist

[@mr.deep.]

thanks sir please upload frequently

[@manaswinim7775]

Thanks!

[@syedfurqanahmed2347]

One of the best online learning resources, however, would have loved it more if it covered LSTMs, Auto encoders, and GANs.

[@ram_c]

Please make a tutorial for PINNs

[@AbcdAbcd-ol5hn]

Thanks a lot sir very grateful for your contribution... Please please do continue the playlist

[@shreeharikrupa7532]

You explain very nicely. I request you to please upload the videos for remaining topics which you have mentioned in earlier video like LSTM, GRU, Bidirectional RNN, Sequence to Sequence etc. Please upload sir ji..

[@SoumyadweepMondal]

sir at 29:30 you said the derivative of relu is any positive number. But sir the derivative of relu is 1. And if the derivative is 1 and weight are also 1 then exploding gradient is not possible because the multiplication will always give 1. Are you using any kind of modified relu?

[@barryallen3051]

For all the impatient viewers like me, sir is currently busy with Data Science Mentorship program and I don't think sir will be free from that any time soon. Of course, he would give more time to that because it is a paid program. What we can do is to continue learning from other resources and don't let this break stop our progress. Personally, I don't mind paying if I'm getting content of this quality with extra notes and code snippets every week. But that wouldn't be the case for everyone, We can just hope that sir get time soon and continue this playlist, until then keep up your self study.

[@barryallen3051]

Once agian thanks for crearing another video with great explanation!

[@Itikajal]

Thank you so much for this quality content.

[@Brainly_Bots]

Sir I know you're not free but please complete this series. The amount of knowledge that you have and your teaching skill is so good that I don't even want to watch other lectures on youtube.

[@arunrawat4298]

Sir please continue this deep learning course too.

[@mohdfaisal4725]

Sir please complete this playlist as soon as possible we are waiting for the content.

[@harshvardhanpalawat544]

Time stamp 29:30 - If we use Relu as an activation function, the derivative of Relu is either 0 or 1. The derivative is not supposed to be any positive number @campusx-official

[@jyotdelvadiya0706]

hello Sir, Greate video for leaning ML in nowadays but there is one problem of caption...you can add caption while uploading video directly by single click add caption option ...it can help us lott...thank you

[@MDSAIFULISLAM-u4f]

Waiting for the next lecture of deep learning series.

[@aayushabhyankar9615]

Completed this whole playlist no time. Sad to see that you are unable to complete this series but we cannot blame you. You have already done enough and that too for free on youtube. If possible, can you tell us from where can we study or watch the remaining topics. Waiting for your reply!!!

[@shoaibmahar614]

Sir please complete this course we are here because none of the you tube channel teaches the way you do sir love from Pakistan 🇵🇰

[@aashitAgrawal]

eagrly waiting for you to complete this playlist sir

[@shalumalik883]

A humble request to please complete this deep learning playlist

[@aakashyadav1589]

will you be uploading videos for attention, transformer and other advanced architectures?

[@pareshp122]

Please complete this series.

[@taufiq-ai]

Guru vai, please make some videos on LSTM and Bi-LSTM. I know you're going through a packed schedule. I would love to assist you to create content or any kind of stuff. Thanks for your time.

[@datadrivenbusinessinsights]

Great video

[@muskangupta4864]

Sir please please please upload deep learning playlist more frequently 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏

[@amitkothiyal5495]

Niteshji, Thanks for making this kind of complete knowledgeable videos of deep learning. But course of rest of day, how much time will be take to complete, how much time we have to wait remaining videos? Almost 1 year cycle has been complete. I hope, remaining course will be complete before last day of Jan 2023. Thanks for these nice lectures.

[@narendraparmar1631]

Nicely explained , thanks

[@flakky1262]

Sir I'm beginner(tryna major in ml,dl) and learning python right now,,,As I was exploring I came across your channel and believe me you are GEM..I could understand some of your explanations It was so well explained Its just I'm still lil behind will be catching up soon..The playlists are so detailed I hope youre doing okay will be learning from you in future subbing you right now

[@flakky626]

easily* thats me 5 months ago..I have came so far learning from you thanks to you sir

[@kshitijkumre9895]

Sir, Please complete this Deep Learning series if possible... We know that you are busy with DSMP. But, Still at least a video per week you can put here in this playlist! Just 1-2 videos per week!!!

[@vinskumar7231]

I'm learning u r 100 days of ML, i hope u'll complete this 100 days DL also fast. So that I can learn very easily DL also. Love u Nitesh

[@ankitlakra6832]

sir please continue this course ... I am waiting from 6 months

[@ParthivShah]

Thank You Sir.

[@ganeshreddykomitireddy5128]

Superb sir

[@visheshmp]

I mean, I get what has been explained in the video but I have one doubt. If anyone can clear it would be great. Isn't vanishing gradient good in this case? Like assume we have to fill a blank and we have a 1000 word paragraph. of course the blank will be filled mostly based on the words around or just before the blank not something which at the very beginning. I get the example what Nitish sir gave but that is only a sentence. what about huge paragraphs??

[@piyushpathak7311]

Please upload videos in Deep learning playlist daily

[@coder10796]

Yes bro

[@ashutoshkewat5942]

Sir please iss playlist ko continue kr dejiye.

[@DunduAkash]

Great Video sir,,

[@fromco3930]

Sir please continued upload videos on 100 days of Deep Learning abhi 60 videos ho gai hain

[@anandrangwani9311]

Sir Please Upload Videos on CNN Object Classification, Localization, Detection and Segmentation. Aapka content sabse best Organised hain.👍👍

[@miscellaneoushub1956]

Chodo RNN, LSTM karte h. Nice video sir. Sir if possible frequency increase kariye waiting for LSTM, GRU

[@not_amanullah]

sir please complete the series

[@furry2fun]

why is this series paused in the middle, where are the rest of 40videos @campusX ??

[@osho_magic]

Sir plz make video 😭😭😭😭 you are my source of learning and thank you till now,,, I wait forward

[@mallikarjunshettar7976]

sir do one quick recap video of all the concepts of ML, DL and NLP for Interview preparation

[@miscellaneoushub1956]

Sir can we make our own LSTM and GRU cell rather than calling from Tensorflow. How can we do that, can you show any demonstration. While making next video on lstm and gru?

[@krupadharamshi]

sir please complete the playlist ...really need it before sem ends

[@hndangi.2677]

Sir please accept our request to complete the playlist

[@ashutoshkewat5942]

Sir please continue This playlist.. please upload next video sir

[@barryallen3051]

Hope we get next video of series soon. It has already been 3+ months since Iast update.

[@adnansaeed1523]

please complete this series

[@somethingspecial7543]

Sir Please Complete this series

[@learningcore289]

Please complete this playlist

[@suchandramajumder2093]

Please complete this series sir 🙏🙏🙏🙏

[@Tutor482]

Sir why aren't you completing this playlist. We need to understand those important topics

[@campusx-official]

Because I a not getting the time to shoot videos due to the Mentorship program

[@Tutor482]

@@campusx-official Sir please do something and complex Sequence models focusing on NLP examples

[@near_.]

@@campusx-official any probable date when will you come to deep learning playlist? Please

[@RashidAli-jh8zu]

Hi Sir, Please complete this playlist

[@geekyprogrammer4831]

Please complete this course Nitish. Its been almost one year :'(

[@jayrajsonawane165]

plz add complete playlist as soon as possible plz , at the end plz add number of end to end project with flask/Django it will be great approch from your side plz add video

[@muhammadsajad2230]

Sir waiting for more videos..........

[@aniketjoshi7817]

Sir, We all are waiting for the following video.plz, sir. plz.

[@somyaranjanjena1699]

Please complete the playlist sir

[@itdatascience8565]

Sir please complete , I'm begging you.

[@onlysparsh]

Sir please release further videos, we are stuck here

[@Musaafir-ln6feet]

please complete this Playlist

[@hndangi.2677]

Complete the playlist

[@aniketjoshi7817]

sir plz, We all are waiting for the following videos at least LSTM, GRU and BERT. plz sir

[@descendantsoftheheroes_660]

complete this series sir

[@kushagravarshney2536]

Sir please deep learning Puri playlist bana dijiye as fast as possible

[@zero44559]

we is your next video ? and your tutorial very helpfull .

[@magnets8264]

please complete this course sir,i beg u

[@akzork]

Is this the end of the playlist?

[@utkahik]

will this playlist be completed?if yes,when would uploading videos be resumed?

[@PR-ud4fp]

Bhai can you suggest some good & unique ideas for final year project? And thank you for all the quality content 🙌❤️

[@coder10796]

1 - posture detection 2 - live face mask detection 3 - object detection 4 - object tracking

[@karthiavenger4577]

sir, please complete deep learning playlist please

[@nikhilhero9131]

Sir please complete deep learning playlist

[@sayanpaul4873]

Sir please update the playlist

[@rohitrannavre9382]

Sir, please add new videos to this playlist.

[@hamzazahid7768]

sir please add others videos on RNN. waiting for that.

[@mdriad4521]

Sir if you have taken any batch classe on deep learning before you can upload those vidoes.Because we got stuck in deep learning and nlp.

[@nehasharma-hm1xz]

Sir please make video on LSTM with Multivariate data.

[@mohdfaisal4725]

At least tell where to cover the rest of the content (books/channels/resources etc) in one video. I really appreciate your time sir

[@gadgetsguide8087]

Please sir complete this course

[@tarun94060sharma]

Please make videos on LSTM too.

[@learnwithjijivisha]

does anyone have notes?

[@laxmanteja]

please sir complete the playlist , we are waiting

[@ashu030991]

Why have he not completed the playlist, it's 100 days ,right ??

[@hemantdangi8679]

Sir please complete this playlist 😊

[@abdulhannan-go8hl]

October