What is LSTM (Long Short Term Memory)?

Thanks.

I'm in love with his way of teaching!

anyone here to know the murderer, its the butler🤣

tanks how you can apply lstm with times series?

awesome

Hi Martin as you given an example of martin and jenifer, When questions asked about jenifer, martin is no more reelevant so iit'll be forgotten right, if anytime in the future question asked about martin does that relevant to the LSTM? I mean will it be able to remind about martin even after forgetting it?

Anyone else distracted by the fact that he's writing backwards? Great vids, keep it up

❤❤

what if Jennifer is they?

Clear and concise explanation.

👍

Cam we use rnn for ctr prediction

Good lecture ! Thank you very much for the explanations.

saved my exam

Great video - do you write on glass and then transpose/flip the video?

Who can please tell me what screen he wrote on, it is so cool!🤩

Useful video. Thanks a lot

Fantastic explanation. Please keep making more.

Very useful, plain, and concise 😀

That was great!

Tell me please, how is it regulated what we need to remember in sequence? How is it determined? That's how the model will determine what makes sense for the investigation?

Great video and nice visual effects!

How are you writing ?

martin are you married or nah

Very good teaching, thank you!

thank you martin and team. great work.

Is there a way to use clustering and similarity measures to load relevant context? Say we have a Text corpus, cluster it and the lstm checks what the current topic probably belongs too and loads information about this topic into the State or as an extra input?

Martin you are a wonderful teacher! Thank you very much for the explanations.

After first 10 seconds of this video
me: Woah now I know the origins of knives out movie😂

thank you

really good video, thanks you!

Wao, Very helpful

Too many thanks, your lecture is very helpful, could you please explain all gates from LSTM (Forget Gate, Learn Gate, Remember Gate & Usegate(OutPut))?

mirror writing🙃🙃🙃🙃🙃

magnificent

Very useful and helpul. This is a hard topic to understand as readily way, but you can did it in just 8 minutes. Thanks for that Mr. Martin and company. Greetings from Mexico!

"always butler" is high bias :D

Are u using mirror or can you actually write backwards sir 🤐🤐

Sir can you do a video of Rnn example by giving numerical values

Thank you !

Thank you for the lecture

Thanks for the clear explanation.

Really good video. Thank you!

I see the LSTM = low volume. This is the 3rd guide that is almost muted sound.

So are going to ignore the fact he wrote everything backwards on a clear glass wall?

Great advancement in time. Glad to have a better understanding. Thank you folks

Super good lecture

such an informative lecture, thank you so much

Very helpful lecture. Keep up the good work!

Great lecture, thank you.