Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)

Thanks Brandon

Very cool!

That was an amazing explanation. Very clear with the help of images and symbols.

Subtitles are auto-generated with lots of mistakes.

Thanks a lot for this straight to the point explanation. Really learnt a lot.

This is simply amazing and so clear.

Watching in 2x speed, even then it makes perfect sense! 🙏

Amazing Explanation!!

The best Intro To RNNS and LSTMs I have seen!

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!

Waffles for dinner? yuck

Hi , i need some help here
why we decide to make the next hidden state = the long memory after filter it ? why not the next hidden layer not = the long memory (Ct)

subscribed! TYSSM

Exceptionally good, the best I've seen in this subject.

I don't usually place any comment like this, but this is extraordinary :) So easy to understand :) Thank you :)

Superb! Thanks!

The best video on LSTM and RNN I've seen. Thank you so much!

Are the neural network units in an LSTM trained independently or simultaneously through backpropagation? I am assuming the latter and the functions of each unit are simply learned through their placement. For example, the "selection" NN unit is just named that from its placement and we don't do anything special during the training phase to make it a "selection" unit.

you lost me at former and latter

Hey Thanks Bradon, Complexity put forth in Layman's language, just loved it!!!