LSTM Networks - EXPLAINED!

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Recurrent neural nets are very versatile. However, they don’t work well for longer sequences. Why is this the case? You’ll understand that now. And we delve into one of the most common Recurrent Neural Network Architectures : LSTM. We also build a text generator in Keras to generate state union speeches.

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The first time that i see how someone "unrolled" the lstm network and actually demonstrated it. This could not do any professor that i saw. They only showed the picture of cells anybody could find on the internet. Thank you very much, good job!

from-chimp-to-champ

I learnt about LSTMs from so many sources; but no one explained it this well. This is some amazing content you are creating. It should be preserved.

AzharKhan-toll

Programmed my first LSTM with that video. Really good introduction to this topic. Right amount of math, architecture, background (GRU, RNN etc) and coding.

kennethatz

WTF did i just watched....man in 15 min video you explained so many topics and new to AI but what you did was impressive. You explainaid the meaning of everything while simplifieng math concepts BUT STILL putting them in....thank you for your work, I really appreciate it

simoneparvizi

i study MSc computer science at HKU, but your teaching is much better than my professor. OMG

LifeKiT-i

Amazing video.. I love how you have explained a number of different concepts and explained each one with due integrity

anibhatia

Really like your conversational explanations. Great detail presented in a palatable manner.

AlistairWalsh

Had a mighty laugh on the Sepp Hochreiter joke, thanks!

happyduck

I’m not done with watching it. But I had to leave a comment first. I think you have really cracked the way to make people understand. Not a single professor has ever taught the way you have unfortunately. I have always wanted someone whose teaching to start from ground up and just explain everything before diving into math. You even explained what os and random was that’s never seen before in cs 😂. So thank you I really enjoy your video it is great for once someone understood a student who might be watching this does not have a phd in mathematics so explaining what each variable means and what the big picture is might save them hours of being lost and confused. Keep up the great work man I really appreciate this channel now it’s a hidden gem!!!!

sepehr_fard

Thank you sooo much for linking references in the description.

bopon

Thank you SO MUCH for giving some examples of each architecture. Im following multiple ML courses on uni, but everything is abstracted away behind mathematical jargon, and never gets back to basics.

jeroenritmeester

pretty in-depth view on this
I like your pacing better than Siraj, also the simplicity

loopuleasa

This makes so much more sense than my lecture...

NeilWiddowson

Great video!!! Everything I can see and understand from the video make compelling sense for me. Thank you so much!!

hoangphamviet

Your explanation is amazing. Love the way you joking and that makes the video more interesting❤️

ChaminduWeerasinghe

wow, your explanation is so simplistic!

Gosh can't wait for that video on GRU that's coming pretty soon! Besides the joke, Thanks for the video!

TheLOL

Good overview! Still relevant. LSTM's have come a long way, important for the dev of LLM that are showing SOTA performance on NLP as of this date no?

akompsupport

I really liked this clear exlpanation.

rahimdehkharghani

I like the quality of your content, I'll definitely watch your other videos !

hck

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