Illustrated Guide to Recurrent Neural Networks: Understanding the Intuition
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- เผยแพร่เมื่อ 24 ส.ค. 2018
- If you enjoy this, check out my other content at www.michaelphi.com
Recurrent Neural Networks are an extremely powerful machine learning technique but they may be a little hard to grasp at first. For those just getting into machine learning and deep learning, this is a guide in plain English with helpful visuals to help you grok RNN's.
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The written version of this video
/ illustrated-guide-to-r...
Sources
iamtrask.github.io/2015/11/15...
colah.github.io/posts/2015-08-...
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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
Dude if you still hang out on this channel then thank you very much for clarifying the concept of RNN! You rock!!!
This is the CLEAREST explanation of RNNs I've seen. Thank you.
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
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!
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!
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!
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
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!
I really like your videos. You give reasonably in-depth explanations, very clearly, and in about 10 minutes.
I've seen people saying that this is the best tutorial ever in each video. But this video is actually great video.
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!
Very clear explanation of what had previously been something of a mystery. Excellent! 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.
This is the best and simplest explanation i've found about RNN's by far. Thank you man.
RNNs can be intimidating for beginners. The way you introduced them are exceptional. Thanks for the video.
Honestly really great explanation, as a art major, I think I at least understood the mechanism for my big data class now, thanks!
This was excellent, I suddenly understand the entire work flow and why LSTM was selected in my case study of text generation.
You are incredibly informative while staying concise. Wonderful video!
As someone new to RNNs this explanation was very clear. 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.
Clear and completely understandable. like that especially when you showed with the code.
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.
More please! You're great at talking and conveying information!
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!
A pretty good video to get an intuition of RNN, thank you for illustrating it in that way
I found this to be incredibly helpful. Very well articulated and the visual representations are great. Thank you.
This is the best explanation of RNNs I have seen on TH-cam!
Great work Mikael, really well illustrated and explained!
This is the best quick exampels i have ever seen
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.
no perfect explanation exists
except what you did. Thank you lot!
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 ;)
THE BEST VIDEO ever about RNN. Thanks
This made RNNs so clear! Thanks!
Super helpful & enjoyable. I like the videos you make showing how to do a project like building a speech recognizer. Can you do more projects? I like the way you break down the whole process into pieces too. It really helps with knowing the steps and understanding the steps makes it easier to extrapolate the process to other projects.
your explained the vanishing gradient problem so much better than the course I'm taking, THANK
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!
Best explanation on RNNs on youtube! Thank you very much!
This is, without doubt, the best quick explanation on RNN's I've seen so far.
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.
Please keep going, You are a master in explaining.... don't stop
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.
Great Tutorial Michael. Extremely clear and easy to understand.
Thanks for this! I came out of my class with a very very blurry idea what RNN were, it's a lot clearer now! :)
Best Explanation of RNN EVER !!!!!!!
Awesome explanation. Liked the intuition aspect of explaining RNN. Keep the great work going!
pretty good video, hope to see more!!!
The is absolutely fantastic and extremely helpful. Thank you.
The best explanation about RNN, thank you so much!
Awesome video keep it up man !! Definitely great video ! I like how you explained in a really intuitive way !
this video made me finally understand how RNNs work. Thank you so much!!
The best explanation so far. Hope to see videos on time series predictions.
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!
the best video about RNN i have ever seen
best resource on RNN ever on any medium.
best explanation about RNN, amazing animations
Thank you for this vid. You ilustrated the concept nice and clear.
This is an amazing video and very succinctly explained RNN's!
What a great explanation about this topic. Hopefully more from this stuff so as LLM. Many thanks.
thanks.. finally, I am able to make sense after spending so much of time with RNN.
Your explanation is on point dude! Please make more explanation video about neural network architecture!
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
Thank you so much for your excellent work.
Excellent explanation! Looking forward to more videos!
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.
you nailed it, best description ever
Yeaaahhhhhh! I got the light bub moment! Absolutely Amazing
compliments!! explained clear and simple! I would like to learn more in detail about NLP, if you please make more! Thanks a lot!!
Awesome video that helps me to grasp the RNN concept immediately. Please make more videos on AI. Thank you!
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 😁
Very useful for my final exam. Thank you!
You are incredible at teaching! Thank you so much
So helpful to get the idea of RNN and the difference to LSTM.
The best videos about RNN!
Great video! Would love to see LSTM and GRU
Very well explained and the illustrations are amazing!
it was not just help full but amazing, loved it.
Extremely helpful ! two track using visualization and logical coding helped me better understanding
Great video. Thanks for putting this together. Love your work!
Really, its a great explanation. Thanks for your video.
was this helpful??? bro, u made me understand RNN crystal clear in 10 mins. Thank you!!!
Thank you for a great explanation. It's really helpful.
This tutorial is priceless!!! Thank you so much
Thank you -- this was excellent!
this is what is teaching .. great man you are the real teacher .. thanks a lot ... wait for more videos ...
Thank you 🙏
Excellent video on the intuition behind RNNs! Subscribed!
super cool - simple, easy and crisp!! Thanks
The best video about RNNs
still so relevant! thank you!!!
Very good and illustrative starter on RNN
Great explanation on RNN. Thank you! May I ask what software did you use to create the animations?
Good job bud, helped me
This is really helpful! Thank you!!
It's really helpful man, thanks for this :-)
jesus christ i've watch so many youtube video and this is. Thisssss. i finally get it. Thank you so much TT-TT
Great explanation! I have a question, what happens to the intermediate outputs.
For example, output at t_0 i.e 'what'. Are they used for anything such as calculating loss such that 'time(next word in sequence)'-'output(at t_0)' in case of next word generator or final output Intent in case of Chatbot?
Amazing explanation. Thank you.
No words....Very well explained..! thank you! Add other videos on CNN.