Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
GAN -Generative Adversarial Networks- (2019-09-26)
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
abekoh
October 02, 2022
Technology
76
1
Share
GAN -Generative Adversarial Networks- (2019-09-26)
2019/09に社内LTで発表、2022/10に一部修正したものです
abekoh
October 02, 2022
More Decks by abekoh
See All by abekoh
Table-driven testing に縛られないGoのテストパターン
abekoh
9
4.3k
『理科系の作文技術』から学ぶ技術文書の書き方
abekoh
0
1.2k
WSL2 (2020-10-30)
abekoh
1
77
自作キーボードつくってみた (2019-02-26)
abekoh
1
54
Other Decks in Technology
See All in Technology
MLOps導入のための組織作りの第一歩
akasan
0
340
AI時代 に増える データ活用先
takahal
0
240
「誰一人取り残されない」 AIエージェント時代のプロダクト設計思想 Product Management Summit 2026
mizushimac
1
420
AIを共同作業者にして書籍を執筆する方法 / How to Write a Book with AI as a Co-Creator
ama_ch
2
130
ぼくがかんがえたさいきょうのあうとぷっと
yama3133
0
200
これからの「データマネジメント」の話をしよう
sansantech
PRO
0
120
20260428_Product Management Summit_tadokoroyoshiro
tadokoro_yoshiro
4
3k
みんなで作るAWS Tips 100連発 (FinOps編)
schwrzktz
1
300
AIはハッカーを減らすのか、増やすのか?──現役ホワイトハッカーから見るAI時代のリアル【MEGU-Meet】
cscengineer
0
180
LLM時代の検索アーキテクチャと技術的意思決定
shibuiwilliam
3
1.4k
コミュニティ・勉強会を作るのは目的じゃない
ohmori_yusuke
0
230
Do Ruby::Box dream of Modular Monolith?
joker1007
1
350
Featured
See All Featured
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
2
770
A Tale of Four Properties
chriscoyier
163
24k
A Modern Web Designer's Workflow
chriscoyier
698
190k
We Are The Robots
honzajavorek
0
220
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
320
My Coaching Mixtape
mlcsv
0
100
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
54k
The agentic SEO stack - context over prompts
schlessera
0
750
ラッコキーワード サービス紹介資料
rakko
1
3.1M
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
150
Design in an AI World
tapps
1
200
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
100
Transcript
GAN -Generative Adversarial Networks- abekoh : ͜ͷεϥΠυ2019/09ʹࣾLTͰൃදɺ 2022/10ʹҰ෦मਖ਼ͨ͠ͷͰ͢
GANͱʁ
What’s GAN? • Generatve Adversarial Networks • ఢରతੜωοτϫʔΫ • σΟʔϓϥʔχϯάʹΑΔੜΞϧΰϦζϜ
• ଟ͘ը૾ੜʹར༻͞ΕΔ • GAN(Ϊϟϯ)ͱུ͞ΕΔ
ྫ: إࣸਅͷੜ • ϦΞϧࣸਅͱผෆೳͳϨϕϧͷِը૾ΛAI͕ੜՄೳ ʹͳΔGANs͚ΞʔΩςΫνϟΛNVIDIA͕࡞ - Gigazine IUUQTHJHB[JOFOFUOFXTOWJEJBTUZMFCBTFEHFOFSBUPSBSDIJUFDUVSFHBOT
ྫ: ೋ࣍ݩը૾ • MakeGirlsMoe IUUQTNBLFHJSMTNPF
ྫ: ࣗಈண৭ • PaintsChainer IUUQTQBJOUTDIBJOFSQSFGFSSFEUFDIJOEFY@KBIUNM
࠷ۙͷྫ: إࣸਅͷϑϦʔૉࡐ • generated.photos
GANͷֶशͷΈ
χϡʔϥϧωοτʹΑΔը૾ೝࣝ ͿͲ͏ ΓΜ͝ Έ͔Μ ύΠϯ ϝϩϯ ҰൠతͳΈࠐΈχϡʔϥϧωοτ
ٯ͖ʹ͢Δͱɺը૾ੜثʹ
ఢର͢Δ2ͭͷχϡʔϥϧωοτ Λֶͬͯश VS. (FOFSBUPS ੜث %JTDSJNJOBUPS ผث ِΛੜ ຊِ͔͔ผ
GANͷֶशεςοϓ(1/3) %JTDSJNJOBUPS ຊ ِ • DiscriminatorʹຊΛڭ͑ࠐ·ͤΔ ਖ਼͘͠ຊͱผ͢ΔΑ͏ʹ ຊ
GANͷֶशεςοϓ(2/3) • Generator͕DiscriminatorΛὃ͢Α͏ʹ ڭ͑ࠐ·ͤΔ %JTDSJNJOBUPS ຊ ِ %JTDSJNJOBUPSΛٗ͘ (FOFSBUPS
ੜِͨ͠ ೖྗҬΛߜͬͨཚ
GANͷֶशεςοϓ(3/3) %JTDSJNJOBUPS ຊ ِ • DiscriminatorʹِΛڭ͑ࠐ·ͤΔ ِΛਖ਼͘͠ผͰ͖ΔΑ͏ʹ ੜِͨ͠
͜ͷ3εςοϓΛ܁Γฦֶ͠श
GANͷਐԽ
GAN (2014.6) • I. J. Goodfellow (Google)ʹΑΔ࠷ॳͷจ
DCGAN (2015.11) • Deep Convolutional GAN • ΈࠐΈχϡʔϥϧωοτͰ ߴղ૾ը૾ʹରԠ
ଐੑͷ͠ࢉҾ͖ࢉ
Text to Image (2016.5) • จষ͔Βը૾Λੜ จষΛೖྗʹೖΕΔ
pix2pix (2016.11) • ը૾͔Βը૾ͷม
Stack GAN (2016.12) • ͬͱߴղ૾ʹ
Wasserstein GAN (2017.1) • తؔΛେ෯मਖ਼ɺύϥϝʔλௐָ͕ʹ ͳΜ͔͜Μͳ͔ࣜͭ͏
ͪͳΈʹ… • ֶੜ࣌͜ΕΛར༻ͯ͠ɺ ϑΥϯτͷࣗಈੜΛ͢Δݚڀͯ͠·ͨ͠ https://github.com/uchidalab/fontdesign_gan