Tutorial 30- Recurrent Neural Network Forward Propogation With Time

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if you are watching this in lockdown you are one of the rare species on the earth . many students are wasting their time on facebook, youtube, twitter, netflix, watching movies playing pubg, but you are working hard to achieve something . ALL the best ...nitj student here

Official-tknc

You are a blessing, I usually come here, when my highly talented professors in London, could not make me understand this simply.

rafipatel

I promise you nobody!!! i repeat again nobody!!!! can explain anything better than Krish sir and that too RNN explanation was the most simplest yet the best explanation i have ever seen, just so excited to see LSTM as well.

All your content is like ruby's, emerald's and gold given for free and anybody can take, that's how i see your videos.

no words to thank you sir!!!

raghavendra

One of the best AI professors and Data Scientist in the country

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By far the best explanation of the workings of an RNN I have experienced.

ruslan

I am following Krish for the last 3 years and he is one of my Favourite Instructor.

hasibkhan

I love how you go in to depth and show the mathematical expression of what is happening in each step. Definitely one of the best channels on deep learning

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I feel so motivated when watching his videos. God Bless you and you have huge respect Sir.

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Dude you're love, the way you made it so simple. Respect

AbrarKh

omg one of the best and simplified explaination of RNN in the internet, tq sir.

maheshvardhan

This is the best explanation for how RNN architecture works. I have read multiple blogs and watched animations, but I was not clear on how the feedback on the RNN block works. Thank you so much for such a passionate presentation.

sandhyaranidash

Outstanding! Had you answered Shahriar's question in your video, I would say you made the perfect RNN video. Great job! Keep up the outstanding work.

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sourodeepdas

I was watching the previous video right now😃 thanks for next video

kushshri

I've watched 30 of your DL videos today and would like to thank you for them because they were very helpful in explaining these complicated topics. In some of the videos you've made some simple typing errors which might confuse people, so I would suggest you to watch the videos afterwards and put annotations correcting the typing errors. Keep up the great work! :)

antunmodrusan

1-time seeing the video - nothing understood,
2-time seeing the video - slightly understood,
3-time seeing the video - pretty clear,
4-time seeing the video - pretty much good. Thanks, Krish bro!

thepresistence

WOW. Great. I never seen a video in you tube clearing explaining the concept. Thank u

atulj

I wanted to thank you for your time and effort making this video. Your series is just amazing and your explanations are simply beautiful. I learned alot from you, so thanks again for sharing your understanding <3

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I just throw a like on your videos, without even seeing it first, coz I know the effort behind.

rekeshwardhanani

Great tutorial. Keep up the good work! Eagerly waiting for the next lesson on RNN

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Tutorial 30- Recurrent Neural Network Forward Propogation With Time

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