Name: Style Transfer using Spell with Yining Shi
Uploaded: 2020-04-06T08:01:23.000Z
Duration: 1 h 26 min 41 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

BIOGRAPHY. >> WELL, THE CHAT IS VERY SMALL,

Past simple

I WANTED TO SEE YOU AND HEAR  YOU, HALF THE TIME, I SET UP MY

MIC INCORRECTLY.  WELCOME TO A  SPECIAL FRIDAY TRAINING EPISODE,

I'M DAN SHIFFMAN, THERE'S A LOT  OF THINGS THAT ARE EXCITING

ABOUT THIS EPISODE. SO SOMEBODY SAID HI, SO I'M

GOING TO TAKE THAT AS THINGS ARE WORKING.  AND SO TODAY IS A

SPECIAL EPISODE.  NUMBER ONE, WE ARE DOING A MACHINE LEARNING

PROJECT FROM START TO FINISH,  TRAINING A MODEL ENTIRELY IN THE

CLOUD, GETTING THAT TRAINING  MODEL BACK, AND THEN

IMPLEMENTING THAT MODEL IN THE  BROWSER USING JAVASCRIPT.  SO

ALL THOSE PIECES, THAT IS GOING  TO HAPPEN, AND THE WHOLE THING

IS GOING TO TAKE AN HOUR AND A  HALF.  TO PRESENT ALL OF THIS TO

YOU, WE HAVE A GUEST.  YINING  SHI, YOU MIGHT REMEMBER HER FROM

THE CODING TRAIN TUTORIAL THAT  SHE MADE, I WILL LINK HER, SHE

IS AN ARTIST AND RESEARCHER, A  CORE CONTRIBUTOR FOR THE MACHINE

LEARNING 5 LIBRARY, THE ML5.JS  LIBRARY, PART OF THIS TUTORIAL,

SHE WROTE THE STYLE TRANSFER  MODULE OF ML5.JS, AND THAT IS

WHAT SHE IS GOING TO DO AND  PRESENT.  SO YINING WILL BE HERE

IN A MINUTE, AFTER MY LONG  INTRODUCTION.  AND THIS VIDEO IS

SPONSORED BY SPELL, SPELL IS A  CLOUD COMPUTING FOR MACHINE

LEARNING SERVICE.  I DID AN  INTRODUCTION TO SPELL, HOW TO

SET IT UP, WHAT IT DOES, WHAT  ARE THE BASIC COMMANDS.  IF YOU

ARE WATCHING THIS AS AN ARCHIVE, YOU MIGHT WANT TO WATCH IT FIRST

AND RETURN.  IF YOU ARE WATCHING THIS LIVE, HAVE NOT SEEN THAT,

WE WILL HELP YOU GET SET UP WITH THAT.  IF YOU WANT TO SIGN UP

FOR AN CCOUNT AND FOLLOW ALONG,  YOU CAN GET $100 IN FREEBIES.

SPELL, I'M -- SO WE HAVE CLOSED  CAPTIONING, FOR THE FIRST TIME,

REALP TIME HUMAN WRITTEN  CAPTIONED GENERATED BY WHITE

COAT CAPTIONING.  YOUTUBE HAS  AUTO CAPTIONS, BUT THIS IS TYPED

BY A PROFESSIONAL CAPTIONER IN  REALTIME AS I'M SPEAKING, I

AND PIGGY BOOK, WHICH IS -- YOU  ARE IN A BOOK, AND THE

CHARACTERS -- THEY CAN MAKE THE  CHARACTERS SAY WHATEVER THEY

WANT.  I CAN MAKE THE CAPTIONER  TYPE BLUEBERRY, MANGO,

WATERMELON, THOSE WORDS SHOULD  BE APPEARING.  SO THANK YOU TO

SPELL.RUN FOR THE SPONSORSHIP,  THANK YOU TO YINING FOR BEING

HERE, AND THANK YOU TO WHITE  COAT CAPTIONING FOR THE

CAPTIONING SERVICES AND TO SPELL FOR PROVIDING THE FUNDS FOR

THOSE.  AND I WILL BE TO THE  SIDE LOOKING FOR THE YOUTUBE

CHAT, I WILL TRY TO ANSWER THEM, AND MOSTLY WE WILL SAVE

QUESTIONS UNTIL THE END.  IF  THERE IS AN IMPORTANT KEY

QUESTION, I MIGHT INTERRUPT AND  ASK THAT.  AND ONE OTHER THING:

YINING WILL TELL YOU ABOUT THIS, BUT I CANNOT RESIST.  TO TRAIN A

STYLE TENSOR MODEL ON THE CLOUD, WITH A GPU, IT TAKES A LONG

TIME.  SO WE ARE LIKE A COOKING  SHOW MECHANIC, WE'RE GOING TO

START THE TRAINING PROCESS AND  THEN HAVE THE PRE-TRAINED MODEL

IN THE OVEN, FULLY BAKED, TO  SHOW YOU HOW IT WORKS.  IF YOU

WATCH THIS TUTORIAL, YOU WILL BE ABLE TO TRAIN YOUR OWN STILL

TRANSFER MACHINE LEARNING MODEL  USING SPELL.RUN, AND IMPLEMENT

CHAT.  THAT IS ALL OF MY  INTRODUCTORY STUFF, YES.  SO I

AM JUST GOING TO TRANSFER IT  OVER TO YINING, I'M GOING TO

MUTE MY MICROPHONE, I WILL  UNMUTE IT ONCE IN A WHILE ONCE I

HAVE SOMETHING IMPORTANT TO SAY. AND WE WILL GET STARTED, OKAY?

SPEAKER: THANK YOU SO MUCH.  HI, I'M YINING, AND I'M EXCITED TO

AND I WANT TO THANK EVERYONE FOR WATCHING THIS VIDEO.

LET'S GET STARTED! TODAY, WE ARE GOING TO TALK

ABOUT STYLE TRANSFER. WE ARE GOING TO DO FOUR THINGS

TRANSFER, HOW DOES IT WORK, AND  WE ARE GOING TO A PLATFORM

CALLED SPELL TO TRAIN A NEW  STYLE TRANSFER MODEL, AND PORT

THE MODEL INTO ML5.JS TO CREATE  A AN INTERACTIVE DEMO.

THAT MAKE ML MORE APPROACHABLE  FOR A BROAD RANGE OF AUDIENCE.

FOR OUR PROJECT TODAY, ML5JS  ALLOWS US TO RUN OUR MODEL IN

JAVASCRIPT LIBRARY BASED ON  TENSORFLOW.JS.  SO OUR MODEL

THAT WE HAVE TODAY WOULD ALSO  WORK IN THE

TENSORFLOW.JS. AND SPELL PROVIDES COMPUTING

DAYS, BUT WITH THE REMOTE GPU  PROVIDED SPELL, IT WILL ONLY

TAKE A FEW HOURS. LET ME SHOW YOU WHAT ARE WE

GOING TO BUILD AT THE END OF  THIS VIDEO.

THIS IS A DEMO:   HTTPS://YINING1023.GITHUB.IO/

STYLETRANSFER_SPELL/. THIS DEMO READS THE IMAGES IT

GETS FROM OUR WEBCAM, AND  TRANSFER THE STYLE OF THE IMAGE

INTO THE STYLE OF THIS ART WORK. THE STYLE IMAGE IS AN ANCIENT

CHINESE PAINTING CALLED FUCHUN  SHANJU TU.

MANY COLORS, BUT IF YOU TRAIN  THE MODEL WITH OBVIOUS STYLE, IF

YOU USE THOSE STYLE IMAGES, YOU  WILL GET A MORE OBVIOUS

WHAT IS STYLE TRANSFER? STYLE TRANSFER IS THE TECHNIQUE

OF RECAST THE CONTENT OF ONE  IMAGE IN THE STYLE OF ANOTHER

PHOTOGRAPH, THIS TECHNIQUE CAN  EXTRACT THE CONTENT OF THE

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Style Transfer using Spell with Yining Shi

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