Name: Nabil Hasseinによるスペルを使ったテキスト生成 (Text Generation using Spell with Nabil Hassein)
Uploaded: 2021-01-14T10:17:48.000Z
Duration: 58 min 31 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

>> IEL SHIFFMAN: HELLO,  EVERYONE!  WELCOME TO THIS

基礎受動態

LIVE-CODE TRAINING EPISODE, OR  EVENT, AND IT IS SPONSORED BY

SPELL.COM/CODINGTRAIN.  THERE'S  AN INTRO TO SPELL PLATFORM.

HAVE NABIL HASSEIN WHO IS GOING  TO TALK ABOUT HOW TO

THANE  TRAIN AN LSTM MODEL.   THANK YOU TO WHITE COAT

CAPTIONING, THERE SHOULD BE  CAPTIONS SAYING THINGS LIKE

MANGO, BLUEBERRY, BANANA,  HOPEFULLY.  AND I WILL TELL YOU

ABOUT NABIL, HE IS A  BROOKLYN-BASED ARTIST, WEB

YOU CAN FIND OUT MORE ABOUT  NABIL AND THE WORK HE IS DOING

AND THE PROJECTS HE IS  ININVOLVED IN AT THE WEBSITE.

AND NOW, RIGHT NOW, THE  DESCRIPTION IS PRETTY BARE, IT

IS NABIL'S BILLOW AND A FEW  WORDS ABOUT WHAT WE'RE GOING

TO DO TODAY.  SO YOU SHOULD LOOK AT THE LIVE CHAT HERE TO MAKE

SURE THAT EVERYTHING IS WORKING. I WILL BRING NABIL ON AND LOOK

AT THE LIVE CHAT AND LET ME KNOW IF THERE ARE TECHNICAL ISSUES WE

CAN FIX BEFORE WE GET STARTED  WITH THE TUTORIAL.  ANYTHING I

WE'RE GOING TO AWKWARDLY SWITCH  PLACES, I WILL WATCH THE CHAT,

IF THERE ARE QUESTIONS, POST  THEM THERE.

OKAY, THANKS.  AND HERE WE GO.   WELCOME, NABIL.

NABIL HASSEIN: WELCOME,  EVERYONE.  THANK YOU FOR THE

GREAT INTRODUCTION, AND THANKS  SPELL FOR PAYING ME TO MAKE THIS

VIDEO, OR DO THE LIVE STREAM.  I HAVE AN OUTLINE OF WHAT I

PLANNED TO GO THROUGH.  SO I  GUESS I WILL INTRODUCE MYSELF.

I'M NABIL, I LIVE IN BROOKLYN,  I'M A FREELANCE TECHNOLOGIST,

EDUCATOR, I DO SOME OTHER  THINGS.  AGAIN, THANK YOU SPELL

FOR SPONSORING THIS VIDEO. SO THIS LIVE STREAM IS ABOUT HOW

TO TRAIN AN LSTM MODEL USING THE SPELL PLATFORM, SO ON SOME

REMOTE MACHINES SOMEWHERE. AND THEN HOW TO USE THAT MODEL

THAT WE'VE TRAINED USING A  LIBRARY CALLED ML5.JS, A

BROWSER-BASED FRONT END LIBRARY  FOR USING MACHINE LEARNING

MODELS. SO IN THIS VIDEO, I WILL TRY TO DO A FEW THINGS, TRULY

LIVE FOR YOU HERE TODAY.  I'M  GOING TO EXTEND A PROJECT THAT I

DID AT THE SCHOOL FOR  COMPUTATION, WHICH DAN

MENTIONED, LAST SUMMER.  SO THE  PROJECT, I CAN SHOW YOU THE

SO THIS I TRAINED USING A MARKOV MODEL.  SO THIS IS A RHYME

GENERATOR, BASED ON THE LYRICS  OF ONE OF MY FAVORITE EMCEES, MF

DOOM.  EVERY TIME I CLICK A  RHYME BUTTON, IT GENERATES

RANDOM RHYMES PATTERNED ON HIS  LYRICS.  THIS VIDEO ISN'T REALLY

ABOUT THAT PROJECT, IT IS ABOUT  HOW TO USE SPELL.  BUT IT GIVE

YOU A LITTLE BIT OF BACKGROUND,  AND THE CODE IS LIVE IF YOU WANT

TO -- OR THE CODE IS PUBLIC ON  GITHUB IF YOU WANT TO CHECK IT

OUT AT SOME POINT. AND I USED A LIBRARY CALLED

PRONOUNCING, WHICH WAS CREATED  -- AND I'M NOT SURE IF TOO MANY

PEOPLE -- A LOT OF WORK WAS DONE BY ALLISON PERISH AND I USED

THAT LIBRARY TO GENERATE A PAIR  OF RHYMING WORDS, I TRAINED THE

MODEL BACKWARDS ON THE INPUT  TEXT SO I CAN GENERATE THE REST

OF THE SENTENCE GOING FROM THE  END TO THE BEGINNING, AND THEN

REVERSE ORDER. DANIEL SHIFFMAN: APPARENTLY

THERE IS STATIC IN THE AUDIO. LET ME SEE IF I CAN HEAR IT

TESTING. SHOULD I MOVE THE MIC? UNCLIP IT FOR

NABIL HASSEIN: OKAY, SO TALKING  ABOUT THE VUD VIDEO, TRAINING AN

LSTM MODEL.  SO LET'S GO AHEAD  AND GET INTO IT.

SO THE NEXT THING: SO I'M NOT  REALLY GOING TO TALK TOO MUCH IN

THIS VIDEO ABOUT THE THEORY OF  NEURAL NETWORKS OR WHAT AN LSTM

MODEL IS, BUT IT STANDS FOR  LONG-SHORT TERM MEMORY.  IT IS A

SPECIFIC TYPE OF RECURRENT  NEURAL NETWORK AND WHAT IS

USEFUL ABOUT RECURRENT NEURAL  NETWORKS IS THE WAY THEIR

ARCHITECTURE INCLUDES LOOPS.   AND THAT CAN BE USEFUL FOR KIND

OF KEEPING DATA AROUND IN THE  NETWORKS, SO TO SPEAK, WHICH IS

USEFUL FOR APPLICATIONS  INVOLVING NATURAL LANGUAGE,

HUMAN LANGUAGE. BECAUSE CONTEXT MATTERS SO MUCH

CHARACTER, OR THE NEXT WORD,  MIGHT BE -- YOU MIGHT GET A MUCH

BETTER PREDICTION IF YOU  ACTUALLY REMEMBER WHAT WAS SAID,

EVEN SOME WHILE AGO, MAYBE MUCH  EARLIER IN A LONG SENTENCE.  SO

I HAVE A FEW QUICK REFERENCES  HERE, WHICH RIGHT NOW ARE A

LITTLE OLD.  BUT THIS IS --  THESE ARE WHAT I READ TO LEARN A

LITTLE BIT MORE ABOUT RECURRENT  NEURAL NETWORKS.  SO THERE'S A

BLOG POST, THE UNREASONABLE  EFFECTIVE OVER RECURRENT NEURAL

NETWORKS AND THERE'S A BLOG POST CALLED UNDERSTANDING LSTMS, OR

-- DID I TYPE ALL OF THIS  SOMEHOW? I MUST HAVE.  I WILL

FIX THAT. YEAH, IT IS CALLED UNDERSTANDING

BIT OF OVERVIEW OF THE STUFF I  WAS TALKING ABOUT.  HUMANS ARE

THINKING FROM SCRATCH EVERY  SECOND, YOU UNDERSTAND A WORD

BASED ON THE UNDERSTANDING FROM  PREVIOUS WORDS, AND WITH THE

NETWORK, THAT'S WHY WE ARE USING THIS LSTM MODEL.

AND, YEAH, I KNOW THAT BEFORE I  HAD THE CHANCE -- WHILE

PREPARING FOR THIS VIDEO TO  WATCH A VIDEO ON AN OVERVIEW OF

THE SPELL PLATFORM, A LINK TO  THAT WILL BE ADDED TO THE VIDEO

DESCRIPTION AND YOU CAN GET MORE IN-DEPTH ABOUT USING SPELL, AND

I WILL MENTION SOME THINGS ABOUT USING SPELL AS WE GO THROUGH

THIS.  SO WHEN YOU WANT TO DO A  PROJECT LIKE THIS, FIRST YOU

HAVE TO GET YOUR CORPUS OF DATA. AND SO IN THIS CASE, SINCE I WAS

GETTING SONG LYRICS, I USED A  SITE CALLED GENIUS.COM, WHICH

YOU MAY BE FAMILIAR WITH, IT A  POPULAR LYRICS WEBSITE.  AND THE

MAIN THING I USE IT FOR IS  READING LYRICS.

AND SO WHAT I'M GOING TO DO, I  WILL DO EVERYTHING FROM SCRATCH,

SO TO SPEAK, SO YOU SHOULD BE  ABLE TO FOLLOW ALONG IN THEORY.

SO THIS IS OVER A FOLDER THAT I  USED TO PREPARE.  WHAT I WILL DO

IS MAKE A NEW FOLDER, CALLED  SPELL LIVESTREAM, I WILL DO

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Nabil Hasseinによるスペルを使ったテキスト生成 (Text Generation using Spell with Nabil Hassein)

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