Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Go ELM

Yamashou
November 17, 2017
Programming
0
130

Go ELM

Golang implementation of extreme learning machine

Yamashou

November 17, 2017
Tweet

More Decks by Yamashou

See All by Yamashou
Go Tensorflow 思ってたこと
yamashou
0
190
Spring LT in Aizu
yamashou
0
76
学生版GoConを開催したい
yamashou
0
2.3k
会津でGo
yamashou
0
2.6k
Aizu.go second
yamashou
0
340
open app lab kick off meeting　2017
yamashou
0
130
manifes2017
yamashou
1
74
Aizu.go
yamashou
0
62

Other Decks in Programming

See All in Programming
OnlineTestConf: Test Automation Friend or Foe
maaretp
0
110
Contemporary Test Cases
maaretp
0
140
距離関数を極める！ / SESSIONS 2024
gam0022
0
280
AWS Lambdaから始まった
Serverlessの「熱」とキャリアパス / It started with AWS Lambda Serverless “fever” and career path
seike460
PRO
1
260
PHP でアセンブリ言語のように書く技術
memory1994
PRO
1
170
Macとオーディオ再生 2024/11/02
yusukeito
0
370
as（型アサーション）を書く前にできること
marokanatani
10
2.6k
Hotwire or React? ~アフタートーク・本編に含めなかった話~ / Hotwire or React? after talk
harunatsujita
1
120
リアーキテクチャxDDD 1年間の取り組みと進化
hsawaji
1
220
3 Effective Rules for Using Signals in Angular
manfredsteyer
PRO
0
100
「今のプロジェクトいろいろ大変なんですよ、app/services とかもあって……」/After Kaigi on Rails 2024 LT Night
junk0612
5
2.1k
受け取る人から提供する人になるということ
little_rubyist
0
230

Featured

See All Featured
Done Done
chrislema
181
16k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
38
1.8k
How to train your dragon (web standard)
notwaldorf
88
5.7k
Fashionably flexible responsive web design (full day workshop)
malarkey
405
65k
Build your cross-platform service in a week with App Engine
jlugia
229
18k
Keith and Marios Guide to Fast Websites
keithpitt
409
22k
Building Better People: How to give real-time feedback that sticks.
wjessup
364
19k
jQuery: Nuts, Bolts and Bling
dougneiner
61
7.5k
Why You Should Never Use an ORM
jnunemaker
PRO
54
9.1k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
246
1.3M
Visualization
eitanlees
145
15k
GraphQLの誤解/rethinking-graphql
sonatard
67
10k

Transcript

  1. (0&-. T ࢁຊ঵ଠ

  2. ࣗ෼ wࢁຊ঵ଠ wֶ෦೥ wझຯɿαοΧʔ wֶߍɿՈɹʹɹ̔ɿ̎

  3. ΍ͬͨ͜ͱ

  4. (0Ͱ&-.

  5. None

  6. &-. w &YUSFNF-FBSOJOH.BDIJOF w ػցֶशϞσϧ w ར఺ɿ w ߴ଎ w

    աֶश͠ʹ͍͘ w ࢦఆ͢Δύϥϝʔϥ͕ӅΕ૚ͷ਺ͷΈ

  7. ٖࣅٯߦྻ

  8. ٖࣅٯߦྻ w ٯߦྻ͕ଘࡏ͠ͳ͍ߦྻʹ
 ٯߦྻͱࣅͨੑ࣭Λ࣋ͬͨߦྻ w ಛҟ஋෼ղʢ47%ʣ w ϜʔΞϖϩʔζͷٖࣅٯߦྻ ˡ؆୯ʹ͍͏ͱ

  9. None

  10. Ͱ

  11. None

  12. ͳΜͰ(PͰ΍Δͷʁ w ݚڀͰ࢖͍ͬͯΔ͔Β w QZUIPOͰ࣮૷͍͕ͯͨ͠ϒϥοΫϘοΫεଟ͍ w ಛʹٖࣅٯߦྻ w(PͰ΍Γ͍͔ͨΒ ˡ͜Ε͚ͩͷͭ΋Γͩͬͨ ͍͚ͦ͏ͩͬͨͷͰ

    ࡢ೔͔Β࡞Γ࢝Ί·ͨ͠

  13. σϞ

  14. ͢Έ·ͤΜ

  15. ̍̌̌ˋ

  16. ΍ͬͯΈͯ w (P͸ߦྻԋࢉϥΠϒϥϦ͕ऑ͍ w ٖࣅٯߦྻͷ෦෼Ͱ͔ͳΓͯͣͬͨ͜ w ·ͩ·ͩ଍Γͳ͍෦෼͕ଟ͍ w 1ZUIPOΑΓࠓͷͱ͜Ζૣ͍ؾ͕ͨ͠ w

    (P͸ָ͍͠

  17. ͋Γ͕ͱ͏͍͟͝·ͨ͠