@@ivana_ftn Haha… glad to hear! Means a lot. Thank you!
@srishti663711 ай бұрын
best explanation with no faltu pnchyti and made the topic crystal clear
@MachineLearningWithJay11 ай бұрын
Thanks! 😁
@bigfuckingdeal9474Ай бұрын
1000000000% agree
@eng.mohamedemam6489 Жыл бұрын
from a man from Egypt send big thanks to you ❤❤
@MachineLearningWithJay Жыл бұрын
Your welcome
@ikraamhanif79664 ай бұрын
Kash mene phly prh liya hota aj paper hai aur apki videos dekh kr itna achay sy smjh arha hai kiya hi bolun apko...Thank u so much for providing us knowledge like this
@MachineLearningWithJay4 ай бұрын
Hi, I am elated from your words. Glad it was helpful.
@jayhu6075 Жыл бұрын
I am very glad to find your channel. You make this topic for a beginner as me so understandable. Hopefully a following to write this in a python code. Many thanks.
@Ayoub.Naderei3 ай бұрын
I think u deserve much more than 27k subscribers man. I totally got it after watching this playlist
@MachineLearningWithJayАй бұрын
Hehe! Thank you so much! I appreciate it, and I agree. Hopefully with more videos and your support, the channel might grow.
@rajkamal1705 Жыл бұрын
Very easy to understand. You are better than many prof. Thanks bro.
@MachineLearningWithJay20 күн бұрын
@@rajkamal1705 Thank you! It means a lot!
@christianfaust51412 ай бұрын
Thank you from Germany, I appreciate your work
@MachineLearningWithJayАй бұрын
Great to be greeted! You’re welcome
@nikhils21553 ай бұрын
Thank you for these awesome classes brother
@MachineLearningWithJayАй бұрын
You’re welcome!
@s8x.6 ай бұрын
brother u made learning machine learning so easy. When i got money i will be sure to show my thanks
@MachineLearningWithJay20 күн бұрын
@@s8x. haha… you appreciating this is enough for me me! Goad I could help!
@MurodilDosmatov4 ай бұрын
Thousand of thanks for your effort to make this video tutorial
@MachineLearningWithJay4 ай бұрын
Happy that it was valuable. Thanks for the compliment!
@tridibeshmisra9426 Жыл бұрын
Best explanation...... It helped me for endsem exam...thank u sir.....keep creating ... let's get riding🙂🙂
@MachineLearningWithJay20 күн бұрын
@@tridibeshmisra9426 Glad I could help! Hope your endsem went well
@Thing1Thing11 Жыл бұрын
Thank you so much! I was so lost and you really helped me get to grips with what is going on
@MachineLearningWithJay20 күн бұрын
@@Thing1Thing11 Glad I could help!
@pavangoyal6840 Жыл бұрын
Excellent. Thank for this video and explaining complex concept like LSTM in very short and crisp video
@MachineLearningWithJay20 күн бұрын
@@pavangoyal6840 Glad I could help!
@dinushachathuranga765712 күн бұрын
Thanks for the clear explanation ❤❤
@MachineLearningWithJay10 күн бұрын
You're welcome! I am glad you found this helpful! 😄
@khushiyadav-st4oh20 күн бұрын
Best Explanation Ever
@MachineLearningWithJay20 күн бұрын
@@khushiyadav-st4oh Thanks you so much!
@dmg-s2 жыл бұрын
I am so happy now. Thanks!
@abhinavbuddala4620 Жыл бұрын
😂
@rezamohammadi114010 ай бұрын
Very helpful because of mathematical explanation and summery in the last
@MachineLearningWithJay20 күн бұрын
@@rezamohammadi1140 Thank you! Glad to help!
@arvinflores53162 жыл бұрын
That was a good binge man. Hopefully attention/transformers will be covered too!
@MachineLearningWithJay2 жыл бұрын
Thanks for the suggestion... I will try to cover those too
@muhammadumarwaseem9 ай бұрын
Thank you for the detailed to the point explanation.
@Bunches_of_Entertaiment Жыл бұрын
Superb explanation brother.. thank you so much 😍.. I got very clear understand on LSTM and as well as RNN
@MachineLearningWithJay20 күн бұрын
@@Bunches_of_Entertaiment Happy to help!
@deepurachakonda282 жыл бұрын
u made my day..thnx lot
@MachineLearningWithJay2 жыл бұрын
My pleasure 😊
@KulkarniPrashant6 ай бұрын
Clear and concise explanation, thank you!
@kavoshgar97338 ай бұрын
You describe everything very well✌️
@vinayakmane7569 Жыл бұрын
remarkable explanation , keep bringing good content. just one little suggestion , try to write keypoints on board while explaining so that we can copy and it will help us while revising
@MachineLearningWithJay20 күн бұрын
@@vinayakmane7569 Write may be I will try to keep the summary at the end and write key points there? Would it help? Anyways I will keep this in mind for my future videos
@saatvikkool2 жыл бұрын
You're doing a great job bro ✌️❤️
@MachineLearningWithJay2 жыл бұрын
Thank you so much 😊
@suhaibfarooq82534 ай бұрын
Very good explanation
@pothusandeepkomal10062 жыл бұрын
thanks man …. very helpful … cheers !!!
@MachineLearningWithJay2 жыл бұрын
Cheers!!
@pothusandeepkomal10062 жыл бұрын
@@MachineLearningWithJay could you please make videos on GRUs ,se2seq,Attention models, Transformers?
@MachineLearningWithJay2 жыл бұрын
@@pothusandeepkomal1006 I am goong to upload those videos, but it will take some time. Right now, i am busy with my exams, so will upload when i get time. 😇
@QuratRaja-q2v Жыл бұрын
Worthy explanation!
@iftikharullah361611 ай бұрын
I watched many videos for this topic but couldn't understand it. You made every point clear in a beautiful way 🫡
@harshitraj84092 жыл бұрын
Great Explanation
@MachineLearningWithJay2 жыл бұрын
Thank you
@PRAJAKTAPATKAR-t7z8 ай бұрын
Amazing- great work
@hamedhasani5774Ай бұрын
awesome work
@juditmaymo9714 Жыл бұрын
love this video!!
@evildead37342 жыл бұрын
Great resources 🙌
@MachineLearningWithJay2 жыл бұрын
Thanks
@this_is_the_baat4 ай бұрын
thanks my dear bro
@Animelover-oo7cz7 ай бұрын
you are the best thank youu
@user_userovich Жыл бұрын
Thank you very much!
@7aanusha885 Жыл бұрын
thank you for this video
@shaveta018 ай бұрын
Good vdo Pl use white marker 😊instead of red
@ABCD-wd1sk8 күн бұрын
Thanks
@MachineLearningWithJay8 күн бұрын
@@ABCD-wd1sk you’re welcome
@slingshot76028 ай бұрын
Tnx a lot
@KishorA-s8f Жыл бұрын
Thank you
@VenomOmpi6 ай бұрын
thanks a lot!
@mainakmukherjee3444 Жыл бұрын
Hello bhaiya, thanks for the informative contents. But can you please explain me why you are saying ft (forget gate) is a matrix. From the formula, it just an output of a sigmoid function, which I think a scalar value for each time step. Please explain this part. 🙏🙏
@pavangoyal6840 Жыл бұрын
For time series data (there are around 60 input variables) and there are two outputs variables. Which deep learning model would be best LSTM ? Here accuracy matters. For learning time does not matter. For 2 output variables how to design LSTM model ?
@charanm1773 Жыл бұрын
Arigatto
@KhadijaTulKubra-o2o9 ай бұрын
Hi! i want to learn text detection from images using RNN. Please if you can help ???
@rohitpol11096 ай бұрын
What is Bc, Bf, Bi, Bo added everywhere ?? Is that bias ?
@forsakennawfal5464 ай бұрын
Biases or as we can say the Constants added in every function, indicating the margin of error.
@martinant446 ай бұрын
te quiero mucho
@achreflegend43354 ай бұрын
5:00 the green formula ; shouldn't it be a sum of multiplication through 0~t instead of just a sum
@tanvirtanvir6435 Жыл бұрын
3:22 problem with RNN
@vishnusit1 Жыл бұрын
At 8:45 you are wrong about matrix multiplication
@beshosamir89782 жыл бұрын
Hi , i hope one day you explain transformers because ur explainations is great ,but i really need your help about something because i really got tired of searching about the answer i got stucked on something and seems like no one helps so i hope you help me , now i studied about LSTM and Bi-LSTM and i understood them well , but i read some blogs said that bi directional LSTM good for sentiment analysis and time series so i really got confused about it , How it could be useful !!!! it will be useful if my current prediction depends on what happens in the future ,so how it could be usefull in sentiment analysis if i already will predict my final output in the last word so there is no future because i stand in the last , i know it could be usefull in some applications like name entity recognation because the type of the output is (many) so maybe my current output depends on what is happend in the future i really hope to help me because i didn't find any reason after 2 hours of searching in google
@MachineLearningWithJay2 жыл бұрын
Hi, bidirectional LSTM looks at all the words appearing in an input sentence, from both directions, front to back and back to front. So, you can always assume that bidirectional LSTM can be useful for any application involving sentences as input. I don’t have any more reason for this, for now.
@beshosamir89782 жыл бұрын
@@MachineLearningWithJay So , is my question make sense ? or there's something i can not understood about the intuation for now ?
@tahsinulkarim Жыл бұрын
❤❤❤
@aitoquantum Жыл бұрын
the summation formula is wrong! one product sum should be there along with plain summation, that will unfold the longer terms...
@slingshot76028 ай бұрын
GRU???
@MrKhanRizwan2 ай бұрын
Too complex must be targeted for mathematicians
@MachineLearningWithJayАй бұрын
Hi, yeah… the details LSTM is a bit complicated. It doesn’t make much sense at first, and you need mathematical background to understand this. If you are not concerned with the implementation details, then you can directly use LSTM through frameworks like PyTorch, Keras
@shantanusingh21984 ай бұрын
Proably the worst video on lstm i have seen
@MachineLearningWithJay3 ай бұрын
Amm.... sure... All videos are different kind... sad to see this tutorial wasn't help to you :(