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.
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
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.
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
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!
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
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.
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.
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.
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.
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.
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!
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.
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.
Great explaination with amazing visuals!!! But can you make a video about CNNs (convolutional neural networks) and GANs (generative adversarial neural networks)
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!
WOW, i can understand the math once i understand the intuition which you explained very well brother!! I need to give a presentation on this tomorrow and you really saved me!! Bless you ;)
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.
Check out the written version on my blog!
towardsdatascience.com/illustrated-guide-to-recurrent-neural-networks-79e5eb8049c9
Hey Mike. Loved your informative video and your work. I am your FAN.
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
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.
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
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.
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!
thank u i love u i now get it
Good stuff man
Dude if you still hang out on this channel then thank you very much for clarifying the concept of RNN! You rock!!!
the best Video i have ever see about RNN thank u alot
Mohamed Labn i don't think so. I guess he doesn't really know what's LSTM. Everything here is so stereotypical.
He made a second video about LSTMs and GRUs
Has plenty of saliva too!
This is the CLEAREST explanation of RNNs I've seen. Thank you.
I've seen people saying that this is the best tutorial ever in each video. But this video is actually great video.
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
This is the best explanation of RNNs I have seen on UA-cam!
This is, without doubt, the best quick explanation on RNN's I've seen so far.
Best video explaining RNN among tons of youtube videos. :)
Probably the best explanatory video about RNNs
that clicked for me :) Thanks!
Explained better than my PhD professor, you saved me before RNN hw and final exam!
your explained the vanishing gradient problem so much better than the course I'm taking, THANK
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!
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
RNNs can be intimidating for beginners. The way you introduced them are exceptional. Thanks for the video.
This is the best and simplest explanation i've found about RNN's by far. Thank you man.
Best explanation on RNNs on youtube! Thank you very much!
the best video about RNN i have ever seen
Thanks for this! I came out of my class with a very very blurry idea what RNN were, it's a lot clearer now! :)
this video made me finally understand how RNNs work. Thank you so much!!
Awesome explanation. Liked the intuition aspect of explaining RNN. Keep the great work going!
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.
Thanks for the kind words :). More to come!
Thank you for making this video! I had no idea what RNN was.
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!
Best Explanation of RNN EVER !!!!!!!
Great Tutorial Michael. Extremely clear and easy to understand.
6:02 == light bulb moment
Thank you very much for giving such an awesome explanation
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.
Mate great video, I am trying to learn how AI works and this is by far the most helpful video out there, cheers
As someone new to RNNs this explanation was very clear. Thank you.
I really like your videos. You give reasonably in-depth explanations, very clearly, and in about 10 minutes.
Very good and illustrative starter on RNN
Best RNN explanation, liked, keep the vids up brother
this is what is teaching .. great man you are the real teacher .. thanks a lot ... wait for more videos ...
Thank you 🙏
you nailed it, best description ever
Very clear explanation of what had previously been something of a mystery. Excellent! Thank you!
I found this to be incredibly helpful. Very well articulated and the visual representations are great. Thank you.
finally, my vanishing gradient concept is cleared. A big thank you. Keep up the good work. You have definitely added one more subscriber.
Yeaaahhhhhh! I got the light bub moment! Absolutely Amazing
Your explanation is on point dude! Please make more explanation video about neural network architecture!
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.
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.
Please keep going, You are a master in explaining.... don't stop
Dude thank you a lot. I watched LOTS of videos and only yours gives this aha! moment! Thank you a lot again.
Thanks for watching 😁
no perfect explanation exists
except what you did. Thank you lot!
was this helpful??? bro, u made me understand RNN crystal clear in 10 mins. Thank you!!!
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.
it was not just help full but amazing, loved it.
This is the most illustrative explanation about RNN that have ever see. Thanks a lot for sharing!
Very good narrative, visualization. Please make more clips about intuition in machine learning algorithms.
thanks.. finally, I am able to make sense after spending so much of time with RNN.
THE BEST VIDEO ever about RNN. Thanks
Wow. What an amazing video on RNN. Thanks! Sign up for youtube's join program or whatever. I'd support videos like this.
You are incredibly informative while staying concise. Wonderful video!
one of the best explanation, I have ever seen ❤
The best explanation about RNN, thank you so much!
Great visualizations. They help to get the intuition faster.
best resource on RNN ever on any medium.
Honestly really great explanation, as a art major, I think I at least understood the mechanism for my big data class now, thanks!
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!
The best video about RNNs
LIke the visualization and the clear explanation! Thanks!
This is the best quick exampels i have ever seen
Thank you man :) i really love your presentation ! i am so grateful, i hope you keep up with your videos
thankx again
Loved it! Very clear and intuitive explanation!👏👏👏
More please! You're great at talking and conveying information!
Loved your explanation man. Yep ... you lit up my light bulb.
Awesome video keep it up man !! Definitely great video ! I like how you explained in a really intuitive way !
Such comprehensive video, thanks for ur work!
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.
The best videos about RNN!
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.
man you are killing it!!!
Great explaination with amazing visuals!!! But can you make a video about CNNs (convolutional neural networks) and GANs (generative adversarial neural networks)
Awesome video that helps me to grasp the RNN concept immediately. Please make more videos on AI. Thank you!
Great work Mikael, really well illustrated and explained!
you are excellent and cannot wait to see more of your videos.
Excellent video. Simplistic explanation. Thank you for making it
This was excellent, I suddenly understand the entire work flow and why LSTM was selected in my case study of text generation.
Excellent video on the intuition behind RNNs! Subscribed!
super cool - simple, easy and crisp!! Thanks
Such a good video! You definitely helped me to have that lightbulb moment! Cheers mate :D
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!
WOW, i can understand the math once i understand the intuition which you explained very well brother!! I need to give a presentation on this tomorrow and you really saved me!! Bless you ;)
Please make more videos like this. Thank you for sharing
very concise and understandable. Thanks for your explanation.
A pretty good video to get an intuition of RNN, thank you for illustrating it in that way
Great video! Would love to see LSTM and GRU
Great explanation and graphic for the vanishing gradient problem-thanks so much!
Glad it was helpful!
The best explanation so far. Hope to see videos on time series predictions.
I like very much your video. It is very useful to have an overall picture about the difference neural networks
Thank you
Very useful for my final exam. Thank you!
Clear and completely understandable. like that especially when you showed with the code.
What a great explanation about this topic. Hopefully more from this stuff so as LLM. Many thanks.
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.
pretty good video, hope to see more!!!
So helpful to get the idea of RNN and the difference to LSTM.