LSTM explained simply | LSTM explained | LSTM explained with example.

LSTM explained simply | LSTM explained | LSTM explained with an example
#lstm #machinelearning #deeplearning #ai
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Topics for this video:
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[@deepakdodeja4663]

This is a well-researched, well-designed, well-explained video I would say. Thanks a lot for efficiently explaining LSTM in just 30 minutes.

[@shanjidabduhalim6146]

What a clear and straight to the point lecture. Thanks Prof!

[@msbrdmr]

This was the most understanding tutorial I've ever seen about LSTM. Keep going. You are awesome.

[@Mimimoon2024]

thanku prof, now am confidante enough about what happening in LSTM cells .its well clear even the math behind it very clear and well explained . thanku prof for this course.

[@Tatanajafi]

Best description. Thank you.

[@Gezahegnt2000]

Nice Tutorial thanks

[@rajendrabhise4427]

This is the first video I encountered on LSTM subject and I dont think, I need to watch other videos to understand LSTM any more. What a clear and straight to the point lecture.

[@UnfoldDataScience]

You words are precious to me. Thanks a lot

[@samiashah7914]

Zabardast, very well explained. ❤ Thank you Sir

[@vincentdey4313]

Well Explained . Great Job

[@zenithmacwan]

Excellent explanination! Thank you sir!

[@UnfoldDataScience]

Welcome

[@casuresh7081]

Good Explanation. Thanks

[@omarabubakarosman2791]

very explicit presentation. We are very grateful for breaking down this complex concept of deep learning.

[@UnfoldDataScience]

Thanks Omar. Pls share with friends

[@user-bz8cl5cz3u]

Nice explanation.thank u

[@shine_through_darkness]

Thank you brother , your channel is really good

[@divyaharshad9985]

v good content! explained lucidly

[@kavyanagesh8304]

You're THE BEST! Thank you.

[@UnfoldDataScience]

Thanks a lot. pls share with friends as well

[@tehreemqasim2204]

excellent tutorial thank you

[@PankajKumar-bw4jg]

thank you sir for this brief detailed video. it really helps me to get the idea about lstm

[@UnfoldDataScience]

Thanks Pankaj.

[@raheemasghar2383]

Great effort Aman

[@milindankur]

Great explanation! Thank you!

[@UnfoldDataScience]

Thanks Ankur.

[@parsasakhi1505]

awesome! Thank you

[@user-jt4vn2dn8g]

Simply amazing

[@prateekkumar2740]

Great content Aman. Could you please consider time series problem solving using LSTM. Thanks

[@adityarajiv6346]

thanks it was really helpful!.

[@akshitacharak4385]

Thnkyou so much👍🏼

[@veenajain]

Awesome content Aman

[@prateekbhadauria7004]

Nice and brief supereb explanation, thank you for spreading your knowledge.

[@UnfoldDataScience]

Thank you Prateek

[@samadhanpawar6554]

Amazing explanation very clear to understand keep up the good work
Make a video on GRU , Transformers, attention mechanism,encoder and decoder also😊

[@UnfoldDataScience]

Thanks a lot. Your words are my treasure

[@nimeshraijada5844]

You have excellent teaching skills 👍

[@UnfoldDataScience]

Thanks a lot.

[@swapnil2881]

Excellent I watch so many video but not clear concept but today video very helpful

[@UnfoldDataScience]

Thanks Swapnil.

[@AIandSunil]

Excellent explanation sir❤ thank you

[@UnfoldDataScience]

Thanks Sunil.

[@sunilkumarsam150]

Best explanation ever!👍

[@UnfoldDataScience]

Glad it was helpful!

[@IT-pz8yz]

Great explanation ,thank you

[@UnfoldDataScience]

Most welcome. Pls share with friends as well

[@daveplayz919]

wow such a hard topic still felt really simple thank you sir for explaining it very nicely

[@UnfoldDataScience]

Thanks for watching

[@Gagandeepsingh-kp3ms]

great brother

[@Amin-ue2dz]

you are amazing.

[@afn8370]

thankyou man

[@danielfiadjoe9312]

Thank you. This is very clear.

[@UnfoldDataScience]

Welcome Daniel.

[@danielfiadjoe9312]

Do you have any video on Stock prediction using LSTM ? @@UnfoldDataScience

[@jawaherabdulwahabfadhil2329]

Thank u sir

[@muhammedthayyib9202]

GREAT work

[@UnfoldDataScience]

Thanks a lot. Hope you u r doing good.

[@aliyuabubakarmusa946]

The video is very interesting

[@UnfoldDataScience]

Thanks a lot

[@sunilkumarsam150]

sir, can you make one video of the implementation and research paper writing effectively in the field of NLP, ML, and DL.

[@UnfoldDataScience]

Sure.

[@knik8]

Waiting....

[@Hunger_Minds]

Aman Sir having a query regarding about LSTM architecture.
In how many iteration will model to understand which one word is important & which one is not?..

[@ashwinijalla3504]

Please do series on complete learning of Generative AI concepts

[@shubhrashrivastava9510]

What is the difference between the final output ot and ht??? Explain in detail plz...thanks in advance

[@lathusree]

Hi Aman can you help explain bus time arrival prediction using LSTM.

[@TheMato1112]

Thank you very much. Finally, I understand. Well Done

[@UnfoldDataScience]

Most welcome. Pls share with friends as well

[@chirumadderla8129]

Super stuff

[@UnfoldDataScience]

Thanks

[@user-vr8xq7lw7v]

Nice sir

[@UnfoldDataScience]

Thanks and welcome

[@chirumadderla8129]

can you please consider the eusecase of weather forecasting

[@UnfoldDataScience]

Sure, next video

[@rahulraizada7001]

sigmoid lies between 0 and 1. whereas tanh lies between 1 and -1.

[@BhanusriAndhavarapu-xc1xb]

could you please explain timeseries data

[@rahulraizada7001]

What is different between tanh and relu?

[@tishachhabra3369]

Best👍

[@UnfoldDataScience]

Thanks for watching.

[@sg28011]

How will forget gate will know a particular word is irrelevant or of less importance?

[@sg28011]

Got the answer as the video progressed

[@dhirajpatil6776]

Sir Please Can you provide written notes of this video means what you have explain in this video thats all I want written in words. Thank you

[@mohitchouksey6707]

Sir how many people got job from ur course?

[@hassanarshad2687]

🤯🤯🤯🤯🤯🤯

[@siddheshmhatre2811]

Finally god found

[@Mimimoon2024]

u know prof i bought a bunch of courses related to this , believe me they were not clear as much as your course.

[@allinteli]

sir please hindi mein video banaoo

[@KumR]

why sigma and why tanh?

[@UnfoldDataScience]

I can answer but I advise you to google it :)

[@_Channel_X]

This is known as "simple explanation" in real sense