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there are several contents on RNN which does not explain the intuition but yours is the best content i've seen which gives you the intuition and concepts in a short video thanks a lot

In only 3 minutes, I understood the concept that I couldn't understand in hours of lectures. Good Girl!

Hope this explanation was helpful for you! Did you hear anything for the first time in this video?

Ahh this is exactly what I needed! Thank you so much for explaining RNNs in such a clear way :) Keep up the great work - I'm sure it's much appreciated by lots of viewers!

@misraturp

2 жыл бұрын

That’s great to hear Christina! I’m glad it was helpful. :)

Very intuitive explanation, espeically with your interpretation! Keep up the great work :)

Very clear description, thank you!

High quality content and very well explained. I saw about 10 different videos of RNN and by far this is the best. thanks a lot!

@misraturp

2 жыл бұрын

That's great to hear, thank you!

crystal clear explaination of RNN !!! Thank You so much ❣

Amazing Explanation!! 👏

Thank you. This was precisely the explanation I was looking for: especially how the input is handled in terms of time-steps..

@misraturp

Жыл бұрын

You're very welcome!

Awesome video!!! Eagerly waiting for the next one on this channel :)

@misraturp

2 жыл бұрын

Thank you Python Engineer!

Hello Misra 🙂🌻 Thank you so much for concise summary on RNN and variants 🎉

@misraturp

2 жыл бұрын

You are very welcome. :)

That's a very important topic. This video inspires me to add RNN to my code demonstration library. Thanks.

@misraturp

2 жыл бұрын

Awesome to hear!

you are doing awesome job, thank you !

@misraturp

2 жыл бұрын

Thanks Tech Elefant!

Very well and clearly explained. Thanks

@misraturp

Жыл бұрын

You're welcome!

Good explanation.

Thank you for sharing this.

WE MAKING IT OUTTA THE AGI WITH THIS ONE🗣🗣🗣🗣💯💯💯💯🔥🔥🔥🔥

thats so clear explanation! It would be awesome to give a real example with sequential data where you have vectors with the weights.

Thank you for your amazing explanations ! I have now a better understanding of LSTM thanks to you clarity.

@misraturp

2 жыл бұрын

That's great to hear Jérémy!

Wow! You explained this so much better than Lex Fridman :D So easy to understand

This is awesome! Thank you!!

@misraturp

2 жыл бұрын

Thanks! and you are very welcome :)

Very Good explained

@misraturp

Жыл бұрын

Thanks!

this tutorial is fire

Highly Underrated Channel. Just one thing to ask how many layers are there in each RNN as you wrote weight matrices are all same since its actually only one cell. Also when then input from last timestamp comes how is it simultaneously passed along with other input. Are both vectors added ?

Your video just proved me a fool. I now understand it

Explanation is fine. Only one wish is to make some insulation in the studio to avoid big echo

I read the title and thought: "Fool-proof? Well, I'm a fool! I better watch this!"

thanks

@misraturp

2 жыл бұрын

You're very welcome!

hi there, may I ask if RNN (particularly LSTM) can be trained as any NN for both classification and detection? like can I classify action and detect say face ?

Hi, thanks for your helpful videos, you are very smart and beautiful.

@misraturp

2 жыл бұрын

Great to hear you like the videos!

💯💯💯💯💯💯

@misraturp

2 жыл бұрын

Thank you!!

I am from india i am in 10th grade i know little python i wanna become a data scientist can i take this course? On your website in this your official website i hope?? Please give me a reply?

@misraturp

2 жыл бұрын

Hey Mike, yes the link in the description is my official website. :)