Brandon has applied extraordinary skills in communicating the difficult (convoluted?) topic and concepts on LSTM, in simple and comprehensible language. The example on writing the "Children Text Book" brings out all of the major processes into sharp focus. I have learnt immensely. I will now be studying other videos by Brandon. Thanks a lot.
It makes me want to make four more RUclips accounts just to give the video more likes. I've been staring at the network diagrams on blog posts for a few weeks now with no idea how to really read it. That simple walkthrough on the small example was just perfect.
I really appreciate how you wait to the very end to discuss the math of RNNs. Your approach of leading with the intuition of RNNs rather than the math was super helpful for me. Thank you for your work!
Your videos are absolutely amazing. You are the first educator to make these complex topics truly accessible to the general coder without the privilege of getting to attend Stanford. Thank you so much. Everyone I've shared this to has just eaten it up as well.
Dude you nailed it, this simplicity on explaining such a complex concept shows how great you are and the depth of your knowledge on the subject. Thank you so much.
I have seen a couple of videos on the topic, and yours is easily the best. I would have had no chance to understand the other ones, had I not watches this here first. Thanks a lot!
I'm preparing my university exam about "Data Science and machine learning", these videos are pure gold for someone who is approaching this topics for the first time like me. Thank you so much, it was really worth the time spent to watch it.
Fantastic explanation. Taking the time to explain the diagram symbols really helps (me) (sigmoid/tanh/addition/multi). I also liked how the video explains that with RNN/LSTMs, you are going to need several NNs in this solution and not just one NN with lots of hidden layers (another words what DEEP really means). The other hard part for me anyways has always been data conversion, knowing that you have to obviously convert a "string name" to a numerical representation (TF/IDF) for example before you can even push the input data into a NN architecture. Thanks for your effort !!!
Thanks a lot for your reply Brandon! I am trying to use CNN algorithm for network security application for my project in my masters. Could I connect to you Sir via mail?
This made LSTM clear and understandable. Also your How Deep Neural Networks Video made the abstract way a computer hones its network down a simple and clear algebra equation.
This is an unbelievably amazing video that I have ever seen for RNN/LSTM.. I was looking out for exact systematic approach to explain it which is not done by anyone else.. Subscribing to your channel.. Kudos!
Absolutely amazing video, especially the toy example at the end. Was struggling with Andrew's video, but combining the intuition from this video with the diagram and formulae he told, damn am I happy
@Karsyn Denver Why on earth would you like to hack your gfs instagram? What are you, a thief or something? At which country do you live in? I am sure the local police authorities would like to have a word with you or two.
Наука
Brandon has applied extraordinary skills in communicating the difficult (convoluted?) topic and concepts on LSTM, in simple and comprehensible language. The example on writing the "Children Text Book" brings out all of the major processes into sharp focus. I have learnt immensely. I will now be studying other videos by Brandon. Thanks a lot.
Everyone give this man an upvote. This is great material.
An upvote doesn’t justify. Plus hit the subscribe button.
It makes me want to make four more RUclips accounts just to give the video more likes. I've been staring at the network diagrams on blog posts for a few weeks now with no idea how to really read it. That simple walkthrough on the small example was just perfect.
I really appreciate how you wait to the very end to discuss the math of RNNs. Your approach of leading with the intuition of RNNs rather than the math was super helpful for me. Thank you for your work!
Thank you :)
The pace and clarity of the lecture is really refreshing. Methodically stated complete sentences are always welcomed in my book.
Easily the most intuitive intro tutorial on RNN/LSTMs. Great work and thanks
Yes, this is the best LSTM video on RUclips. Today is 27th July 2019.
What is the day today?
27th July 2020 *(1 year later exactly)* ...Best video yet
Insane explanation. Just invested 26 minutes of my time perfectly.
im a student major in data science from taiwan and i wanna say thank you, i got more to know about LSTM after watching ur video. Much appreciate sir!
You are very welcome. Best of luck in your studies!
Your videos are absolutely amazing. You are the first educator to make these complex topics truly accessible to the general coder without the privilege of getting to attend Stanford. Thank you so much. Everyone I've shared this to has just eaten it up as well.
I actually thought there was a fly on my screen. Kudos!
@@Neonb88 didnt see the fly until you mentioned it lol
The example with Writing story is very clear. Thank u!!
You explain everything in a crisply crystal clear way. What a great teacher! :)
As someone who learns best through story and images, this has been incredibly helpful. Thank you!
The best explanation of RNN and LSTM that I have ever come across. Thanks for sharing!
I'm happy you liked it!
The most approachable introduction to LSTM I have found so far.
Kind of meta-ironic watching this with automated subtitles enabled.
Really good video on the subject, much appreciated!
:) Love it
The best introduction to RNN and LSTM on RUclips! Thank you, Brandon!
This is probably the best video on RNN and LSTM that I have come across!
Thanks Aaryan :)
A very clear and concise concept of LSTM. Had a hard time trying to understand LSTM until I fell upon this video. Thanks Brandon for this
Thanks Swetha! I'm happy it helped :)
Brilliant! Such lively, easy-to-understand explanation. Wish there were more teachers like you.
I have been getting into neural networks for a while now, and this is the best material I have seen.
This has to be the best LSTM explanation I have seen! Awesome work! THANK YOU for making this
Great introduction to LSTM. Thank you sir.
Just brilliant. Not only learned about LSTMs but also how to do a proper presentation.
Thanks Georgios!
Dude you nailed it, this simplicity on explaining such a complex concept shows how great you are and the depth of your knowledge on the subject. Thank you so much.
Thanks Hessam, that is a giant compliment. I'm glad it helped.
Hands Down! The best LSTM video I have ever seen! Thank you!
Is it only me who has no idea of what this genius is talking about
😂😂😂 good one
I have seen a couple of videos on the topic, and yours is easily the best. I would have had no chance to understand the other ones, had I not watches this here first. Thanks a lot!
Really. Other videos do explain in hard scientific way unlike this one
Best possible explanation of LSTM
Absolutely wonderful and simplified video explaining LSTM. Thanks a ton Brandon!
I have never seen this level of simple explanation of LSTM ever. Awesome..
Hey Thanks Bradon, Complexity put forth in Layman's language, just loved it!!!
I'm preparing my university exam about "Data Science and machine learning", these videos are pure gold for someone who is approaching this topics for the first time like me. Thank you so much, it was really worth the time spent to watch it.
Wow, I've been looking for this kind of explanation about LSTM in details for weeks. Thank you so much!
Clear, unpretentious, non-shouty video. Thank you.
The best explanations for CNNs and RNNs! Thank you a lot!
The best Intro To RNNS and LSTMs I have seen!
Thanks a lot for this straight to the point explanation. Really learnt a lot.
Damn, the people who come up with these neural network architectures are brilliant.
This is by far the best channel out there on machine learning. More please!
agreed
Great detailed explanation! You’ve made LSTMs very easy to understand! Great Job ! Thanks a lot for your efforts!
Saw many videos on explaining CNN in a simple way. This video explains RNNs and LSTMs in a simple way. Very intuitive
Fantastic explanation. Taking the time to explain the diagram symbols really helps (me) (sigmoid/tanh/addition/multi). I also liked how the video explains that with RNN/LSTMs, you are going to need several NNs in this solution and not just one NN with lots of hidden layers (another words what DEEP really means). The other hard part for me anyways has always been data conversion, knowing that you have to obviously convert a "string name" to a numerical representation (TF/IDF) for example before you can even push the input data into a NN architecture. Thanks for your effort !!!
Beautifully well illustrated in simple, step by step manner for such complex concepts
Great job Brandon, simple and straightforward explanation easy to grasp concepts.
Thanks Garrett!
This channel is a goldmine ty
after just 3 minutes i knew it is going to be a brilliant video. Thank you.
I don't usually place any comment like this, but this is extraordinary :) So easy to understand :) Thank you :)
Thank you very much!
Great Video explaining why and how we had to modify the simple NN to achieve this. Thank you. Looking forward to more videos
Thanks so much Brandon!! I wish to learn how features are extracted from network packets. Thanks for the videos.
Urge all to give you an upvote.😀
Thanks Balmukund! I'll keep network packets in mind as an application.
Thanks a lot for your reply Brandon! I am trying to use CNN algorithm for network security application for my project in my masters. Could I connect to you Sir via mail?
Best graphical explanation I've seen so far. Thanks!
I love the birds chirping in the background, super calming :)
Apreciated Brandon, Nice presentation. Crisp and precise explanation for LSTM concept.
This video is the best one explaining the LSTM!!! Thanks you so much!!!
this is first LSTM video, you gave me a confidence to go on. Thanks,
I don't usually comment, but Mr Brandon the way you explained things really made to do this. Really superb sir _/\_
I watched it 3 times and I finally get it, it's really a fantastic system. Thanks for the really good explaination
Amazing explanatory video on RNN and LSTM. Thanks a ton for making it this easy to understand the LSTM concepts
Excellent explanation of LSTM in a very simplified and realistic way... Great video!
Thanks for simplifying something complex so clearly that even I understood it :)
This made LSTM clear and understandable. Also your How Deep Neural Networks Video made the abstract way a computer hones its network down a simple and clear algebra equation.
Best one to explain LSTM so clearly.
Thanks for taking the pains to build those examples. You are explaining this wonderfully!
This is an extremely helpful and productive explanation plus creative demonstration of the RNN. Thanks so much !
Astonishingly great video. As an instructor, you provide a lot to emulate here.
Thank you for the video. It helped me learned the concepts of RNN and LSTMs so easily
The best video on LSTM and RNN I've seen. Thank you so much!
Thank you so much I’ve been trying to understand LSTMs all week and this video finally did it for me
Excellent walk through of fundamental LSTM concepts
THE BEST VIDEO EXPLAINING NEURAL NETWORKS BY THE FAR you a re and amazing teacher, everything is clear you have a new fan good work
I am beginner in DNN, I must say, I really enjoyed learning LSTM, Thanks a lot!
By far the best explanation on this topic.
Just excellent. It is art to find the simple story w/n complexity. Well done sir, well done.
Hi Brandon, you made my day today. Very nicely and simply explained
The best video to learn LSTM I've seen, thanks Brandon!
Awesome video indeed. Very abstract concepts explained in very straightforward visual figures. Really appreciate it.
This is an unbelievably amazing video that I have ever seen for RNN/LSTM.. I was looking out for exact systematic approach to explain it which is not done by anyone else.. Subscribing to your channel.. Kudos!
This video was absoultely AMAZING. I've subbed and hope you keep on keeping on! Thanks so much!
Thanks Brandon. This video provided lot of clarity in simple terms.
What a well-organised explanation. Thank you!
Absolutely amazing video, especially the toy example at the end. Was struggling with Andrew's video, but combining the intuition from this video with the diagram and formulae he told, damn am I happy
Tbh, this is the best video explanation about LSTM i've ever seen
Thanks :)
That was an amazing explanation. Very clear with the help of images and symbols.
This is really amazing video on LSTM. Pace and clarity of explanation is awsome !!! thank you Brandon
Many thanks Ajit.
This video clear my all doubts on LSTM , Thank you !!
Exceptionally good, the best I've seen in this subject.
Amazing work. thanks Brandon, all your videos are great, to ease in this journey to learn the topic.
Hey thanks for this video brandon! I learned a lot of great new LSTM knowledge. I am coming over from Luis by the way 👍
Which Luis, Jabs?
Luis Serrano.
LUis Serrano's Friendly Intro to RNNs: ruclips.net/video/UNmqTiOnRfg/видео.html
Overdue on my part, but I'm so happy you found it! Thanks for the shoutout. Keep up the amazing content. You are doing great things.
@Karsyn Denver Why on earth would you like to hack your gfs instagram? What are you, a thief or something? At which country do you live in? I am sure the local police authorities would like to have a word with you or two.
Thanks for this video!! This level of explanation is just what I needed to understand what's going on under the hood!! Thanks!
There are so few good videos on this topic and you nailed it. thanks!
Great intro to RNN and LSTM for a non-developer. Will follow you.
Awesome, Brandon. I finally get a better understanding of LSTM.
Watching in 2x speed, even then it makes perfect sense! 🙏
I will never forget LSTM , Thanks!!
This is the best explanation on Internet
very nicely put together!
Precise and with very clear examples, couldn't be better :D ..... Thanks so much for this.
Very good material. Thanks for explaining in so much simple ways.
Best intro to LSTM I've seen, thanks
You are a teaching genius. Thank you.
I can't think any better explanation. Wonderful!