What is LSTM (Long Short Term Memory)?

[@mdjubairpantho4142]

Martin! I will tell you! Your 5 minutes explanation is worth an one hour reading! You are an amazing teacher!

[@amalkumar256]

I'm in love with his way of teaching!

[@simonbax2002]

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

[@channel-xj7rp]

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

[@IBMTechnology]

That's likely the #1 comment! The presenter writes on the glass and we flip the image in post-production. Martin is actually right-handed. Some married presenters will switch their wedding ring to the other hand or not wear it so as not to confuse their spouse.

[@gehallak660]

@@IBMTechnology Smart ! I was wondering how you did this.

[@abhishekrao6198]

@@IBMTechnology I don't understand how you guys made it look like he's writing backwards on a glass, could you explain it to me.

[@chaoma8228]

@@abhishekrao6198 The presenter uses right hand to write. The camera is in front of him so that the original video should have all sentences reversed. Then flip the video left to right, you can get the video you watch now

[@nitinkapoor4752]

@@IBMTechnology 😂😂…the most obvious observation. People who didn’t even figure that out 🤦‍♂️should not be watching LSTM/RNN or other such videos 🕺

[@engr.inigo.silva2000]

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!

[@toenytv7946]

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

[@DieLazergurken]

Very helpful lecture. Keep up the good work!

[@IsxaaqAcademy]

After watching Martin Keen's explanations, you don't need another short explanation

[@akashthoriya]

Good lecture, Please make video on "transformer based models" too, It will be very helpful

[@IBMTechnology]

Thanks for the suggestion, Akash! We'll see what we can do! 🙂

[@medical-informatics]

I'd appreciate a practical video. For instance a medical longitudinal study with N patients and several visits over some time, where they get a certain medication. What would the input need to look like? What is the process?

[@trinity98767]

The video is mirrored image of the actual video. The writing appears straight to the audience.

[@RakeshMahapatra-s9c]

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?

[@bysedova]

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?

[@jayasreechaganti9382]

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

[@TaylorDeiaco]

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

[@IBMTechnology]

See ibm.biz/write-backwards

[@ashleygillman3104]

Wait the Homebrew Challenge dude does Deep Learning too?!

[@TheHomebrewChallenge]

LOL yes, Homebrew Challenge dude has a day job :)

[@sathiraful]

are there any new algorithms more powerful and more efficiency work than traditional neural network ?

[@Grzeroli1]

How does this trick work, you record normally and then mirror the video?

[@balenkamal182]

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

[@massimothormann272]

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?

[@saifshaikh8679]

How do we figure out relevance of state?

[@salinchaudhary-ei7he]

mind blowing explanation . thanks

[@fouziafathima6460]

Clear and concise explanation. 👍

[@rollopost]

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

[@IBMTechnology]

See ibm.biz/write-backwards

[@vivekpujaravp]

Fantastic explanation. Please keep making more.

[@rajburande2343]

Is Lstm effective for stock price prediction?

[@wmxoae1237]

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

[@IBMTechnology]

See ibm.biz/write-backwards

[@theneumann7]

Great video and nice visual effects!

[@RishabKapadia]

thank you martin and team. great work.

[@WangY-ip3sb]

Good lecture ! Thank you very much for the explanations.

[@waleedt_trz]

such an informative lecture, thank you so much

[@LakshmiDevilifentravels]

Cam we use rnn for ctr prediction

[@AllenJose-p3r]

please teach us more content like this..

[@maloukemallouke9735]

tanks how you can apply lstm with times series?

[@OmPrakash-vt5vr]

Nice Explanation. Thank You.

[@Gabi_09]

Very good teaching, thank you!

[@athmaneghidouche7746]

Very useful, plain, and concise 😀

[@phonethiriyadana]

Thanks for the clear explanation.

[@kikichung2955]

Useful video. Thanks a lot

[@gupsekobas2209]

how can you write backwards?

[@Venkateshkhatri]

Well he can not, if you look closely the video is flipped

[@ivant_true]

what if Jennifer is they?

[@siddhesh119369]

really good video, thanks you!

[@elevated_existence]

How are you writing ?

[@willdrunkenstein5367]

Imagine if the model takes the context "My name " and predicts "J" as the next letter 🤣

[@thomasplum9868]

Super good lecture

[@tammofrancksen5186]

Really good video. Thank you!

[@amirarshiamirzaei710]

who would have guess that some algorithm can beat current state of art memory (eg me )

[@anirvinkandarpa5544]

why echo though?

[@mastajigga13]

Thank you for the lecture

[@IconOfSeas]

saved my exam

[@shilpadas1311]

Great lecture, thank you.

[@IBMTechnology]

You're welcome and thanks for watching, Shilpa!

[@Mark-pd3sn]

It's alwyas the gardener ... but very good video anyways :)

[@petchpaitoon]

The voice is too low

[@akashthoriya]

Yes needs to work on audio 🔉

[@jagungkaka5977]

Subtitle is a solution

[@douglasespindola5185]

Use earphones. I did and had no problem!

[@mohammadrezarazavian9305]

That was great!

[@cybrhckr]

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

[@jeverydk]

Sound is just fine mate

[@aimatters5600]

thank you

[@kedarnandiwdekar20]

Thank you !

[@ramatalwadker]

martin is buying apples. jennifer is making apple pie

[@abdullahshaikh7409]

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

[@codeschool3964]

Thanks.

[@sumitchauhan653]

Yeah It was the Buttler

[@eyupozturk8586]

"always butler" is high bias :D

[@colabwork1910]

Wao, Very helpful

[@ashianarahman]

anyone here to know the murderer, its the butler🤣

[@willw4096]

5:00 5:42

[@matthewg7702]

awesome

[@NewNerdInTown]

It was the butler.

[@domnic7431]

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

[@fatmamahmoud9148]

magnificent

[@godalmighty5970]

Seems a mixture of RAM & CACHE/BUFFER. By 2050-60. Anything ever STORED on hardware will be recoverable. By 2080 anything PROCESSED by hardware.

[@TobiasBlithe-r2h]

Lopez Robert Perez Sarah Taylor Carol

[@blastinnn]

I am cooked

[@simplexination9837]

mirror writing🙃🙃🙃🙃🙃

[@BinodLaKshitha]

❤❤

[@CarnegieDorothy]

Brown Paul Martin Robert Jackson Michael

[@DavyTracy-l7i]

Lopez Sandra Martin Donna White Ronald

[@HITNUT]

martin are you married or nah

[@AgnesCarpenter-p1o]

Brown Michael Robinson Barbara Anderson Donna

[@sharongreenlaw8096]

habits

[@TecnopolisTrue]

Mmmmm. vaya vaya Mayordomo

[@toprak8082]

WHODUNNTI

[@manmohanmahapatra6040]

VOICE too low!