Recurrent Neural Networks | RNN LSTM Tutorial | Why use RNN | On Whiteboard | Compare ANN, CNN, RNN

[@kshitij_3001]

OMG!😲 The explanation is too good i am searching for the concepts of Machine Learning.. Sir where were you finally i found something very good. Thankyou sir for your easiest expalanation.

[@binodsuman]

My heartfelt gratitude for the overwhelming comments and the recognition you've given me as a good teacher in regards to my RNN LSTM videos. Your appreciation and support mean the world to me, as they encourage and motivate me to create more videos that make the entire concept of AI and ML more accessible and understandable for everyone.

[@moussa8990]

This guy is a living proof of the saying, 'never judge a book by its cover.' It's like he's performing surgery on your mind, implanting knowledge painlessly. I grasped the concept without any difficulty. Thank you.

[@sarathreddy844]

Initially, I thought the video was a waste of my time. However, as I started watching, I found the explanation to be excellent. It provided a comprehensive overview of the entire concept of neural networks.

[@lazyraconteur8279]

Respected Sir, I rarely comment on a video or like it. However, the manner in which you have covered the basics of RNN is commendable. You have what it takes to make for a great teacher. You understand the audience's demands and mental capacity and according to that you have made the video. Thank you.

[@AbhayKumar-qj5nq]

Hats off to your efforts. Thanks, it hardly took half an hour to have a complete understanding of RNN.

[@omarcarmona5434]

That is the best explanation I've found on KZbin.

[@vishaldas6346]

I have become a huge fan of your Binod sir. You've easily explained the merits and demerits of each algorithm.

[@binodsuman]

Thank you so much Vishal for all nice words and appreciation. Keep learning !!

[@piyalikarmakar5979]

The way sir is teaching, is the perfect explanations for the beginners..Thanks sir

[@ashumohanty566]

The best explanation I have ever seen. Thank you so much!.god bless you

[@Sanyat100]

THink its the best explanation on the internet, from Canada with Love !

[@binodsuman]

Happy to hear Sanyat, this Amazon RNN Recurrent Neural Networks videos Tutorial series helped you. Keep Learning and thank you for nice words!! @binodsumanacademy

[@sgcreations5638]

Very Clear and to the Point Nice Explanation , with intution .

[@sarojkumarn786]

Well explained, appreciate your efforts. The approach to start with demerits of ANN and from there introducing CNN RNN is great and unique.

[@binodsuman]

Thank you Saroj for nice words. Happy to know CNN RNN Tutorial videos helpful to you. Keep learning!!

[@kalaivanisivarajan5579]

Sir, really very clear explanation. Thanks for sharing.

[@NidhiSingh-bw7sb]

God bless you Sir. Amazing explanation

[@binodsuman]

Thank you so much Nidhi for all nice words. It motivate me to do more. Happy to know that RNN LSTM video helped you. Keep Learning !!

[@brucewaayne]

love your content. i am going mad after seeing your videos. truely cheerful and educational.

[@binodsuman]

Thank you for motivating me to do more and uploading many great educational video. Thank you for your support to make this channel success and make it available to bigger forum. Keep Learning !!

[@SagarShetty-ig3yv]

your explanation is too good and very very easy to understand the concepts

[@shahildhiman1738]

best ..... super se b upr wali video .......

[@hukumsaini9864]

Sir, you explain best..... i could not find video for GRU

[@binodsuman]

Thank you so much for nice feedback and motivating for this Viterbi HMM tutorial videos. Keep Learning !!

[@ramub7657]

RNN explained very nicely. Awesome video

[@Aimanshah110]

very well explained sir. your are impressive.

[@surbhijain5427]

Thanks sir for this wonderful explanation .

[@SkilledNoori]

well explained. Love you sir from PAK

[@mn3465]

Superbly explained!!!

[@nigarsultana1739]

Thank you sir.

[@shadabhussainkhan1512]

Thank you.....!! saved a lot of time

[@asim-gandu-phenchod]

Simply awesome. Love from Pakistan sir

[@binodsuman]

Thank you very much Atif, feeling blessed and encouraged !!

[@anahitabh9649]

Thank you very much

[@binodsuman]

Glad to know this RNN LSTM video was useful. Keep Learning !!

[@dharambir_iitk]

Greeeat explained

[@purajithsabari6924]

thanks for this technical information

[@Sudeepdas313]

Thank you so much Sir!

[@DevEricosDev]

so cooll and easy to get!

[@binodsuman]

Thank you !! Your kind words are very motivating. I will strive to create even more informative and educational video. Keep learning!

[@toshyamg]

Great job bro 👏 👍

[@thirurst9278]

clearly explained..

[@amulyamaurya1321]

thank you sir

[@gowthamreddy2236]

This is a great video thanks!!

[@arindammondal4786]

sir u are great

[@sanjaychakrabortyaworldofc6953]

Nice explanation

[@indarusdiasofiani6994]

fantastic, thank you a lot for your efforts

[@radethebookreader5312]

Can you pls explain the architecture for rnn in recommendation system

[@tejapandruvada7164]

Hatsoff sir

[@Shadyxjp]

Hi Mr, im a geology student and im searching for a recurrent neuronal structure so I can describe volcanoes, would love a recomendation thanks.

[@tomsmith6109]

good explain sir. but is [new weight (W) = W+ change (W) or W=W-change in W?

[@kidcootv423]

Sir Can you give the notes of the CNN explanation

[@jayasreechaganti9382]

Sir can you please do a video for Rnn example by giving values (weights)

[@surajpatil4815]

Kindly make video on U net architecture

[@TheEverydayAnalyst]

Many to one - Sentiment Analysis

[@RinkiSingh-ph6oo]

well explained sir. But I am having one doubt . If there is more features then we go for PCA(principle component analysis) . Then y ANN

[@JoJo-wk5rt]

Could you explain why or why not we need to correct for autocorrelation in a neural network when using time series data?

[@ankurkaiser]

The basic fundamental is to check for auto-correlation using Hypothesis tests - Darwin Test. Accordingly remove/correct the autocorrelation as per your business needs. Neural Network helps solving complex use cases, training a complex dataset, nothing special in NNs except for now if we are using Gen AI, it takes care of everything.

[@mmm777ization]

English delhke hum khush hua

[@kanhataak1269]

super explained in your all video thanku so much pls provide your linkedin link Profile

[@harshsonar9346]

Finally found binod, after 5 years

[@VDS_PARIVAR]

Bro, it is not ANN, it is MLP.Bcoz all are ANN only

[@murtazagm9665]

Call it "classical Machine Learning algorithms" instead of Machine Learning(ML) because all terms used here are belong to ML.

[@shivateja1499]

@3:45

[@mmm777ization]

big to big cat to its onetoone just alternation

[@ClaraIda-x1e]

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[@sameeranzingre9225]

Please..❎ Pelase ..✅✅

[@mdsuhail-qv3py]

👌👌🤌

[@Mr.Tabassum-n1r]

Hi Good Morning Dear Sir, Please can I add you at Whatsapp? I need your some kind of help to classsify satellite imagery over Large study area by employing deep learning algorithms : CNN and RCN? I am waiting for your good response soon.

[@Maya_8]

Thankyou Sir. Very nicely explained.

[@binodsuman]

Happy to see, this RNN LSTM video helped you for your education. Keep Learning !!

[@betanapallisandeepra]

Good explanation

[@binodsuman]

Thank you Sandeep, keep learning.

[@hemantvardani269]

Thanks!! really great video.