Illustrated Guide to Recurrent Neural Networks: Understanding the Intuition

[@theaihacker777]

Check out the written version on my blog! towardsdatascience.com/illustrated-guide-to-recurrent-neural-networks-79e5eb8049c9

[@allenshakespeare5202]

Hey Mike. Loved your informative video and your work. I am your FAN.

[@yamininair5165]

Could you help me visualize the RNN as a normal neural network with input layer and hidden layers etc.

Older videos = better and high quality

[@theaihacker777]

Everyone, thanks for watching! I have plans to do a series of these on practical ML algorithms widely used in the industry. Subscribe for more!

[@amandac0903]

thank u i love u i now get it

[@willemvanderveen7567]

Good stuff man

[@prabhdeepsingh8726]

This was great. I have seen countless videos on RNNs and LSTMs and nobody explained it by taking a simple example like you did. It was a perfect balance of theory with application.

[@EmilyXieX]

Loved how clear and minimalist your animations and explanations were--really allowed me to focus on understanding the high-level intuition around RNNs. Thanks so much.

[@aszahala]

Yeah, finally a video that does not start with the useless "Hello! So basically [insert a two page long formal description that I'm not going to explain]" :D

[@diasmashikov7793]

Dude if you still hang out on this channel then thank you very much for clarifying the concept of RNN! You rock!!!

[@saurabh9446]

I've seen people saying that this is the best tutorial ever in each video. But this video is actually great video.

[@Alaska-mk4ok]

OMG I FINALLY UNDERSTAND HOW RNNS WORK OMG THANK YOU SO MUCH NO ONE HAS BEEN ABLE TO EXPLAIN THIS TO ME AS WELL AS YOU YOU ARE AMAZING I LEARNED THIGNS THAT I WAS NEVER ABLE TO LEARN THANKS TO YOU

[@mohamedlabn3547]

the best Video i have ever see about RNN thank u alot

[@yongkailiu1448]

Mohamed Labn i don't think so. I guess he doesn't really know what's LSTM. Everything here is so stereotypical.

[@sevenicolas2820]

He made a second video about LSTMs and GRUs

[@trexmidnite]

Has plenty of saliva too!

[@goodmusic284]

This is the best explanation of RNNs I have seen on KZbin!

[@akshaybareja4697]

This is the CLEAREST explanation of RNNs I've seen. Thank you.

[@magicofmountshasta8330]

Probably the best explanatory video about RNNs that clicked for me :) Thanks!

[@kazenokize2]

your explained the vanishing gradient problem so much better than the course I'm taking, THANK

[@stevendeverteuil7620]

Explained better than my PhD professor, you saved me before RNN hw and final exam!

[@AnujTiwari]

this is what is teaching .. great man you are the real teacher .. thanks a lot ... wait for more videos ...

[@theaihacker777]

Thank you 🙏

[@anipacify1163]

Light bulb moment indeed . Good explanation. Many professors themselves are bad at explaining this topic. the video is structured well too . Love this short but amazing tutorial

[@Rrdd725]

Best explanation on RNNs on youtube! Thank you very much!

[@abhigyandatta2008]

RNNs can be intimidating for beginners. The way you introduced them are exceptional. Thanks for the video.

[@valentindoring5105]

this video made me finally understand how RNNs work. Thank you so much!!

[@ragequilt_]

This is, without doubt, the best quick explanation on RNN's I've seen so far.

[@pavangupta6112]

Awesome explanation. Liked the intuition aspect of explaining RNN. Keep the great work going!

[@zukofire6424]

Thanks for this! I came out of my class with a very very blurry idea what RNN were, it's a lot clearer now! :)

[@ikgjazz]

Great Tutorial Michael. Extremely clear and easy to understand.

[@tuanvutrinh2252]

the best video about RNN i have ever seen

[@jafetsierra1875]

This is the best and simplest explanation i've found about RNN's by far. Thank you man.

[@seanmci8149]

As someone new to RNNs this explanation was very clear. Thank you.

[@pranavbhagwat1734]

Just the right amount of jargon that I understood but didn't get bogged down by. I feel much more comfortable tackling the details of RNNs now so thank you for making this video!

[@learning2cube759]

6:02 == light bulb moment Thank you very much for giving such an awesome explanation

[@neespion1131]

Yeaaahhhhhh! I got the light bub moment! Absolutely Amazing

[@rohandeshmukh6103]

Best Explanation of RNN EVER !!!!!!!

[@IMateme]

Please keep going, You are a master in explaining.... don't stop

[@markuskreutz4218]

Holy sh**, this video was fantastic, because it actually explains the real application of RNN, namely being able to process a sequence of arbitrary length instead of a fixed length sequence, which could be also input in a normal NN from my understanding. Also, the part about short-term-memory and back propagation problems was really great.

[@borisdrogendijk1888]

Mate great video, I am trying to learn how AI works and this is by far the most helpful video out there, cheers

[@artkara5954]

Best RNN explanation, liked, keep the vids up brother

[@velibor1]

you nailed it, best description ever

[@ashishbhong5901]

it was not just help full but amazing, loved it.

[@hcv1648]

thanks.. finally, I am able to make sense after spending so much of time with RNN.

[@tellyrotsyourbrain]

Very clear explanation of what had previously been something of a mystery. Excellent! Thank you!

[@SanjeevKumar-nm7ps]

one of the best explanation, I have ever seen ❤

[@yalinbahadir]

no perfect explanation exists except what you did. Thank you lot!

[@gamagambogam]

Your explanation is on point dude! Please make more explanation video about neural network architecture!

[@kakolisen16]

Very good and illustrative starter on RNN

[@muhammadshoaibsikander2603]

Its awesome. I was struggling for many hours to understand the concept of vanishing gradients but you made me understand just in 10 minutes. Thanks!

[@bayesianlee6447]

best resource on RNN ever on any medium.

[@kareenamulchandani3356]

I really liked how simple this video was. I am studying BPharm and interested in Computer science. But everything seems like greek and latin. This is so well explained and me being from biology background could understand.

[@erickolvera5407]

Great visualizations. They help to get the intuition faster.

[@man041986]

THE BEST VIDEO ever about RNN. Thanks

[@kremlinonfire]

Dude thank you a lot. I watched LOTS of videos and only yours gives this aha! moment! Thank you a lot again.

[@theaihacker777]

Thanks for watching 😁

[@KannanKalidasan]

the best video about sequence models. I become a big fan of you. After a few gems like Luis Serrano and 3B1B, you are next who explained the hard concepts in a simple way with a lot of fun. Thank you again.

[@karolinaangelova6347]

The best explanation about RNN, thank you so much!

[@karenzhuqianzhou5890]

LIke the visualization and the clear explanation! Thanks!

[@khaledkedjar3616]

Thank you man :) i really love your presentation ! i am so grateful, i hope you keep up with your videos thankx again

[@alanmacdonald2277]

I found this to be incredibly helpful. Very well articulated and the visual representations are great. Thank you.

[@marky9983]

Such comprehensive video, thanks for ur work!

[@someshkb]

Excellent video. Simplistic explanation. Thank you for making it

[@YenPitchayen]

Very good narrative, visualization. Please make more clips about intuition in machine learning algorithms.

[@david0aloha]

I really like your videos. You give reasonably in-depth explanations, very clearly, and in about 10 minutes.

[@hiral2cool]

this is marvelous creation till now in the video lectures. Completely understood the basic concepts with very cool visualization. Great Man. Keep it up. Want more like this.

[@theaihacker777]

Thanks for the kind words :). More to come!

[@mesfinfikre4626]

you are excellent and cannot wait to see more of your videos.

[@cleanpoop9929]

Wow. What an amazing video on RNN. Thanks! Sign up for youtube's join program or whatever. I'd support videos like this.

[@haohuynhnhat3881]

very concise and understandable. Thanks for your explanation.

[@danielenrique7184]

This is the most illustrative explanation about RNN that have ever see. Thanks a lot for sharing!

[@danielmafileo4078]

Please make more videos like this. Thank you for sharing

[@neelagarwal2599]

super cool - simple, easy and crisp!! Thanks

[@shubhamk53]

finally, my vanishing gradient concept is cleared. A big thank you. Keep up the good work. You have definitely added one more subscriber.

[@siripurapunarendra763]

Loved your explanation man. Yep ... you lit up my light bulb.

[@mahmoudebrahimkhani1384]

Loved it! Very clear and intuitive explanation!👏👏👏

[@fahdciwan8709]

was this helpful??? bro, u made me understand RNN crystal clear in 10 mins. Thank you!!!

[@zipfslaw3771]

Great explanation and graphic for the vanishing gradient problem-thanks so much!

[@theaihacker777]

Glad it was helpful!

[@carlosgines1518]

I like very much your video. It is very useful to have an overall picture about the difference neural networks Thank you

[@박지원-s6t2r]

Amazingly easy explanation. thanks a lot. this video is very helpful for me like started to learning AI

[@thevivekmathema]

This is the best quick exampels i have ever seen

[@jingchang55]

Awesome video that helps me to grasp the RNN concept immediately. Please make more videos on AI. Thank you!

[@elliotmunro8115]

Such a good video! You definitely helped me to have that lightbulb moment! Cheers mate :D

[@sidhumega]

Thanks for such great illustrations. This video serves as a great source for building intuition of RNN which otherwise requires lot of time and effort.

[@acidtears]

More please! You're great at talking and conveying information!

[@sytekd00d]

Yo dude! I finally get it! Thank you so much for your videos. They are amazing. I am more of a visual learner and your videos have helped tremendously. Please keep them coming.

[@AhmedGadd]

So helpful to get the idea of RNN and the difference to LSTM.

[@TheMegaFUNgurl]

Thankyou so much what an amazing video..... it cleared all my concepts related to RNN

[@lakshmisimhan3379]

Excellent explanation... Keep up the good work.

[@ParulSharmaparul]

Great Tutorial ! Thank you so much. I came to RNN's tutorial after going through LSTM and GRU tutorial only to understand why does vanishing gradient occur. I could understand it really well. It's very helpful. Please make more such videos. Big Help!

[@wesNeill]

Excellent video on the intuition behind RNNs! Subscribed!

[@md.raufurrahman3657]

Great explanation on RNN. Thank you.

[@jayhu6075]

What a great explanation about this topic. Hopefully more from this stuff so as LLM. Many thanks.

[@chnoco]

Very useful for my final exam. Thank you!

[@rachelthebear5064]

Honestly really great explanation, as a art major, I think I at least understood the mechanism for my big data class now, thanks!

[@johnr3936]

You are incredibly informative while staying concise. Wonderful video!

[@sean...]

This was excellent, I suddenly understand the entire work flow and why LSTM was selected in my case study of text generation.

[@mykhailo_chaus]

Nice video, even 3 years later, in time of transformers. This gave great intuition about basic architecture, though more information about stacked RNNs layers would be great.

[@talkontech8524]

This video is veey helpful. Thank you for making it.

[@chandabcd]

This tutorial is priceless!!! Thank you so much

[@BenStoneking]

Great video! This is very helpful for my machine learning course project. I'm researching how to make an NN that can compose melodies so your video about RNN's was a great primer!

[@amilamuthunayake810]

The best explanation so far. Hope to see videos on time series predictions.

[@eckotan8523]

The best videos about RNN!

[@ahmedhany5037]

Awesome video keep it up man !! Definitely great video ! I like how you explained in a really intuitive way !

[@mohamednedal]

Thanks for the nice demonstration! A couple of questions please. To establish a Multivariate Multi-Step LSTM Models - Multiple Input Multi-Step Output: 1. How can I design an LSTM network to take, for instance, 3 inputs to forecast a different output that depends on those 3 inputs? 2. How can I forecast multiple timesteps in the future without knowing the new inputs (because they're in the future)? If you could share an example code that would be much appreciated.

[@mehdiaraghi4457]

Clear and completely understandable. like that especially when you showed with the code.

[@aceawan1562]

@LearnedVector at 4:40 the output 01 and the left arrow that is the input of 2nd RNN, do they have the same values?

[@darrenwastestime]

Great video! Would love to see LSTM and GRU

[@MathPhysicsFunwithGus]

This is such a great explanation! Thank you!

[@Mnerd7368]

Great explaination with amazing visuals!!! But can you make a video about CNNs (convolutional neural networks) and GANs (generative adversarial neural networks)