Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
悩みにBarはいかが?
Search
zaki
November 21, 2018
Research
760
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
悩みにBarはいかが?
秋の夜長の自由研究LT大会
2018/11/22(木)
https://engineers.connpass.com/event/104940/
zaki
November 21, 2018
More Decks by zaki
See All by zaki
開発環境としての Python x Remote Container の使い道 / How to use Python x Remote Container as a development environment
zucky_zakizaki
0
1k
コミット前に Lintチェックしませんか?
zucky_zakizaki
2
780
令和からはじめよう!!ブログとフロントのお勉強
zucky_zakizaki
0
160
自分を成長させる! / Grow yourself / #engineers_lt
zucky_zakizaki
0
300
コミュニティでの学びを社内に循環させる / Learning the community inside the company
zucky_zakizaki
2
1.5k
Barのすすめ(お酒の効能から考える)draft版
zucky_zakizaki
1
360
野毛で呑んでがやがやしようぜ!!〜初級編〜
zucky_zakizaki
0
1.9k
「登壇やLTを始めてみたい」方の 背中を押してみたい
zucky_zakizaki
0
2.2k
教養としてのXamarinはいかがですか??
zucky_zakizaki
1
180
Other Decks in Research
See All in Research
MM-OVSeg: Multimodal Optical–SAR Fusion for Open-Vocabulary Segmentation in Remote Sensing
satai
3
150
Fukui Shibiten 39 - AI Art
butchi
0
260
XDPerf: A High-Performance Traffic Generator Built with WASM and eBPF
takehaya
1
340
モデル評価を効率的にする方法
ftakahashi
0
210
最先端NLP 2026 論文紹介: Wait, Wait, Wait... Why Do Reasoning Models Loop? / SNLP Paper Review: Wait, Wait, Wait... Why Do Reasoning Models Loop?
tkng
0
250
JICA QUEST 共創×革新プログラム Impact Report(海ノ向こうコーヒー)
ontheslope
0
810
2026年 オープンキャンパス 研究室紹介
junkurihara
0
240
横浜市長(山中氏)の言動にかかる第三者による調査報告書
sishi2026
0
630
Adapter les bergeries aux fortes chaleurs
institutdelelevage
PRO
0
130
【中間報告】国会議員の立法・政策実務を支える環境を巡る現状と課題
polipoli
0
720
山中市政の総括:相反する二つの顔
sishi
0
120
SAM3を用いたコマ・吹き出しの 領域検出と分割構造からの読み順推定
kzmssk
0
180
Featured
See All Featured
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
2
940
Context Engineering - Making Every Token Count
addyosmani
9
1.2k
Why Our Code Smells
bkeepers
PRO
340
58k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
490
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
Joys of Absence: A Defence of Solitary Play
codingconduct
1
540
Believing is Seeing
oripsolob
1
240
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.6k
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
400
My Coaching Mixtape
mlcsv
0
350
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
400
The Illustrated Children's Guide to Kubernetes
chrisshort
51
53k
Transcript
ΈʹBar͍͔͕ʁ ळͷͷࣗ༝ݚڀ-5େձ ࡚༞थ![VDLZ@[BLJ[BLJ
͖͟ [BLJ ![VDLZ@[BLJ[BLJ ˔$ 3VCZ (Pݴޠ ˔ొࢁ τϨΠϧϥϯ ˔ҿΉͷ͖ʢԣք۾ʣ
ࠓिɺ ͓ർΕ༷Ͱͨ͠ʂ
ࣄͳͲΛ௨ͯ͡ɺ ৭ʑͳΈΛ ཷΊࠐΜͰ͍·ͤΜ͔ʁ
ɾਓ͕ؒؔʜ ɾདྷिͷεέδϡʔϧ͕ʜ ɾΞυϕϯτΧϨϯμʔ͕ʜ
ɾਓ͕ؒؔʜ ɾདྷिͷεέδϡʔϧ͕ʜ ɾΞυϕϯτΧϨϯμʔ͕ʜ ΈΛղܾ͍ͨ͠ མͪண͘ॴ͕ඞཁ
ɾਓ͕ؒؔʜ ɾདྷिͷεέδϡʔϧ͕ʜ ɾΞυϕϯτΧϨϯμʔ͕ʜ Bar͍͔͕Ͱ͔͢ʁ
BarΛקΊΔཧ༝
র໌͕͑Ίɺஆ৭ #(.ʢδϟζϘαϊόʣ ͕߇͑ΊͰ͍͍ײ͡ʹ੩͔ ᶃམͪண͍ͨงғؾ BarΛקΊΔཧ༝
͓ञͷޮՌͰ಄͕ಇ͘ ͢͜ͱͰߟ͕͑·ͱΊΒΕΔ Ϛελʔ ༑ਓ ᶄߟ͑Λ·ͱΊΒΕΔ BarΛקΊΔཧ༝
աڈʹղܾͨ͜͠ͱ
͔ࣾΒݱ৬ͷస৬ ΞτϓοτΛ࢝ΊΔ͜ͱ Ոɾ༑ୡͷؔ ίϛϡχςΟͷ͜ͱ ใΛࣾఏҊ͢Δܾҙ
FUDʜ աڈʹղܾͨ͜͠ͱ
͔ࣾΒݱ৬ͷస৬ ΞτϓοτΛ࢝ΊΔ͜ͱ Ոɾ༑ୡͷؔ ίϛϡχςΟͷ͜ͱ ใΛࣾఏҊ͢Δܾҙ
FUDʜ աڈʹղܾͨ͜͠ͱ
ίϛϡχςΟͷ͜ͱ 4MBDLϫʔΫεϖʔεʹೖΔ͖͔໎ͬͨ ͔ࣗΒΈΔͱ ੌ͍ͱࢥ͏ํ͕ଟ͍ ٯʹϞνϕʔγϣϯམͪΔͷͰʁ ߹Θͳ͔ͬͨΒͲ͏͠Α͏ʜ
ίϛϡχςΟͷ͜ͱ ೖΔ͜ͱΛܾΊͨ എதΛԡͯ͠Βͬͨํ͕ೖ͍ͬͯΔ খ͞ͳܗͰ͍͍ͷͰԸฦ͠Λ ߹Θͳ͍ͳΜ͔ೖͬͯΈͳ͍ͱΘ͔Βͳ͍ ࣗͷํΛม͑ͯΈΑ͏
ଞͷํʹܹ͞ΕͯมΘΔ͔ ͳΜͱ͔ͳΔ͞ʂʢ͓ञͷ͍ʣ
ΜͩΒ Barͱ͍͏બࢶ ͍͔͕ʁ
͓͢͢ΊͷBarͷछྨ ΦʔηϯςΟοΫόʔ ൺֱతམͪண͍͍ͯΔ ੮গͳ͍ɺਓ٬ଟ͍ ϚελʔͱͤΔػձ͕ଟ͍ ೖΓʹ͍͔͘
࠷ॳ༑ਓͱߦ͘ͱྑ͍ νϟʔδྉ͕͔͔ΔՄೳੑ͕ߴ͍
͓͢͢ΊͷBarͷछྨ γϣοτόʔ མͪண͍͍ͯΔ͔ ࣍ձͰෳਓ٬͕͍Δ͜ͱ͋Δ Ϛελʔͱͤͳ͍͔ ΦʔηϯςΟοΫόʔΑΓೖΓ͍͔͢
νϟʔδྉ͕ͳ͍ͱ͜Ζ݁ߏ͋Δ
͓͢͢ΊͷBarͷհ ौ୩ΤϦΞ˞ݸਓͷझຯ͕ө͞Ε͍ͯ·͢ #"3*3*& νϟʔδྉͳ͠ ༑ਓͱߦ͘ͱྑ͍ ΧϨʔɺ͏·ʔ
ɾТɾʆ Ψϥγϟ νϟʔδྉͳ͠ ೖΓ͍͢ ΟεΩʔɺδϯͷϘτϧྔʹѹ͞ΕΔ ͍͢͠ΠέϝϯϚελʔ
͓͢͢ΊͷBarͷհ ؔΤϦΞ˞ݸਓͷझຯ͕ө͞Ε͍ͯ·͢ εʔύʔϊϰΝ 4VQFSOPWB νϟʔδྉ͋Γ ೖΓʹ͍͚͘Ͳ͘͢͝མͪண͘
ࣗՈྉཧͱ͓ञ͕͏·ʔ ɾТɾʆ ͍͓͠ञ͕ஔ͍ͯ͋ΔʢϋΠνͷ͓ञͱ͔ʣ ͯ͘͢͠ஸೡͳϚελʔ Έղܾ͍ͭ͜͜ ͬͪ͜͜Ό͏ͱؔͰଞհͰ͖ͳ͍
͋͞ Barʹߦ͜͏