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
学習しないTensorFlow
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
takenakam
April 18, 2016
Technology
0
4.3k
学習しないTensorFlow
TensorFlow勉強会(3)の発表資料です
takenakam
April 18, 2016
Tweet
Share
More Decks by takenakam
See All by takenakam
「異常検知と変化検知」輪読会 第3章発表資料
functionalaho
0
1.2k
Other Decks in Technology
See All in Technology
広告の効果検証を題材にした因果推論の精度検証について
zozotech
PRO
0
170
Bill One急成長の舞台裏 開発組織が直面した失敗と教訓
sansantech
PRO
2
370
仕様書駆動AI開発の実践: Issue→Skill→PRテンプレで 再現性を作る
knishioka
2
650
Sansan Engineering Unit 紹介資料
sansan33
PRO
1
3.8k
AzureでのIaC - Bicep? Terraform? それ早く言ってよ会議
torumakabe
1
530
SREが向き合う大規模リアーキテクチャ 〜信頼性とアジリティの両立〜
zepprix
0
450
フルカイテン株式会社 エンジニア向け採用資料
fullkaiten
0
10k
20260208_第66回 コンピュータビジョン勉強会
keiichiito1978
0
130
Webhook best practices for rock solid and resilient deployments
glaforge
1
290
Frontier Agents (Kiro autonomous agent / AWS Security Agent / AWS DevOps Agent) の紹介
msysh
3
170
Bedrock PolicyでAmazon Bedrock Guardrails利用を強制してみた
yuu551
0
220
All About Sansan – for New Global Engineers
sansan33
PRO
1
1.3k
Featured
See All Featured
Leo the Paperboy
mayatellez
4
1.4k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
7.9k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
26
3.3k
Reflections from 52 weeks, 52 projects
jeffersonlam
356
21k
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
640
SEO for Brand Visibility & Recognition
aleyda
0
4.2k
Context Engineering - Making Every Token Count
addyosmani
9
650
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
3k
Unsuck your backbone
ammeep
671
58k
30 Presentation Tips
portentint
PRO
1
210
RailsConf 2023
tenderlove
30
1.3k
Making the Leap to Tech Lead
cromwellryan
135
9.7k
Transcript
χϡʔϥϧωοτҎ֎Ͱͷ 5FOTPS'MPX׆༻๏ 5FOTPS'MPXษڧձʢ̏ʣ GBIP
ֶश͠ͳ͍5FOTPS'MPX 5FOTPS'MPXษڧձʢ̏ʣ GBIP
͓ଋ ຊࢿྉ͓Αͼൃݴͷ༰ݸਓͷݟղͰ͋Γɺॴଐ৫ɾษڧձओ࠵ऀͷݟղ ؚΈ·ͤΜɻ
ࣗݾհ GBIP !GVODUJPOBMBIP ג ϒϦϦΞϯταʔϏεॴଐ "OESPJEΤϯδχΞ
͓͜ͱΘΓ ຊൃදͰػցֶशͷग़͖ͯ·ͤΜ
5FOTPS'MPXͱʁ
ग़య,B[VOPSJ4BUP (PPHMF IUUQTTQFBLFSEFDLDPNLB[VOPSJDMPVEWJTJPOBQJBOEUFOTPSqPX
ग़య,B[VOPSJ4BUP (PPHMF IUUQTTQFBLFSEFDLDPNLB[VOPSJDMPVEWJTJPOBQJBOEUFOTPSqPX
ͬͪ͜ ग़య,B[VOPSJ4BUP (PPHMF IUUQTTQFBLFSEFDLDPNLB[VOPSJDMPVEWJTJPOBQJBOEUFOTPSqPX
ͬͪ͜ ग़య,B[VOPSJ4BUP (PPHMF IUUQTTQFBLFSEFDLDPNLB[VOPSJDMPVEWJTJPOBQJBOEUFOTPSqPX
ग़యIUUQTXXXUFOTPSqPXPSHWFSTJPOTSUVUPSJBMTJOEFYIUNM
ग़యIUUQTXXXUFOTPSqPXPSHWFSTJPOTSUVUPSJBMTJOEFYIUNM ୭৮Εͳ͍ɾɾɾ օɺڵຯͳ͍ʁ
Γ͍ͨ͜ͱ ภඍํఔࣜΛղ͖͍ͨ ֦ࢄํఔࣜ Ԡ֦ࢄํఔࣜ ϙΞιϯํఔࣜ
࣍ ඍํఔࣜͷࠩԽ ΈࠐΈͰඍํఔࣜΛղ͘ྲྀΕ ܭࢉྫ SBJOESPQTνϡʔτϦΞϧʹ͍ͭͯ ·ͱΊɾॴײɾࠓޙ
ภඍํఔࣜͬͯͲΜͳͷʁ ֦ࢄํఔࣜ ࣍ݩ V U Y Z ʢྫԹʣͷ࣌ؒൃలํఔࣜ FY
ͷ֦ࢄʢಋํఔࣜʣ ∂u ∂t = D ∂2 ∂x2 + ∂2 ∂y2 u
มΛࢄԽ͠ɺV YK ͷඍΛલޙͷVͷΛͬͯۙࣅ͢Δ V Y ͷ֊ඍͷࠩԽʢத৺ࠩʣ V Y ͷ֊ඍͷࠩԽʢத৺ࠩʣ
ඍԋࢉͷࠩදݱʢ࣍ݩʣ
∂u ∂t = D ∂2 ∂x2 + ∂2 ∂y2 u
࣍ݩͷ߹ಉ༷ʹ͢Δͱ ͰΈࠐΈʂ Z Y ϥϓϥγΞϯΧʔωϧͱ͍͏ શ֨ࢠͰΈࠐΉ
࣌ؒํͷੵ ࣌ؒํલਐࠩ ݞͷఴࣈO࣌Λද͢ EUݱ࣌ͱͷࠩͰۙࣅ͢Δ ∂u ∂t = D ∂2 ∂x2
+ ∂2 ∂y2 u
݁ہɺ֦ࢄํఔࣜΛࠩԽ͢Δͱ ݱࡏͷঢ়ଶ ͰΈࠐΈ ࣌ະདྷ ॳظঢ়ଶ U ɾɾɾ ऴঢ়ଶɹ ϥϓϥγΞϯͰ
ΈࠐΈ U ܁Γฦ͠
ܭࢉͯ͠Έͨ ˞ύϥϝλςΩτʔͰ͢ ࣮ࡍͷݱΛ࠶ݱ͢ΔͷͰ͋Γ·ͤΜ
֦ࢄํఔࣜ ॳظঢ়ଶ E E ಉ࣌ࠁͷεφοϓγϣοτ E E ∂u ∂t =
D ∂2 ∂x2 + ∂2 ∂y2 u ˠɹUGOOEFQUIXJTF@DPOWE
Ԡ֦ࢄํఔࣜ ྲྀମͷෆ҆ఆੑʹΑΔύλʔϯɾ༷ͷࣗൃతܗϞσϧ FYಈͷൽෘ༷ ϥϓϥγΞϯ ͰΈࠐΈ ఆ FMFNFOUXJTF ɾV৭ૉணΛଅਐ͢Δ࣭ͷີ
ɾWͦΕΛ્͢Δ࣭ͷີ ग़య<>*1ZUIPOσʔλαΠΤϯεΫοΫϒοΫ Ԡ߲ ֦ࢄ߲
Ԡ֦ࢄํఔࣜ ग़యIUUQTKBXJLJQFEJBPSHXJLJνϡʔϦϯάɾύλʔϯ
Ԡ֦ࢄํఔࣜ 境界の処理を サボっている ࣌ؒܦա
SBJOESPQTνϡʔτϦΞϧ ࣍ݩಈํఔࣜʢݮਰ͋Γʣ Χʔωϧ ϥϓϥγΞϯͷฏۉ ࣌ؒੵ࣍ͷϧϯήΫολ
ྫɿ࣭ྔЛʹΑΔॏྗП ిՙີʹΑΔిͳͲ ⒎U ''5ͰϙΞιϯํఔࣜ ͜͜ʹ࣭ ͓͍ͨ ˜ φ = ˜
ρ kx + ky ϑʔϦΤۭؒͰີЛ͔ΒПΛٻΊɺ ͦΕΛٯ''5͢Δ͜ͱͰɺ࣮ۭؒͷПΛٻΊΔ͜ͱ͕Ͱ͖Δ <>γϛϡϨʔγϣϯఱจֶ r0.7以降でfftが実装されたが現状GPUのみの模様 https://github.com/tensorflow/tensorflow/issues/386 x y J⒎U
·ͱΊ
·ͱΊ ΈࠐΈͰภඍํఔࣜΛղ͍ͨ ৽͘͠Ճ͞ΕͨPQͷ''5Λ͔ͭͬͯΈͨ $16લఏͩͱ͋͑ͯ5FOTPS'MPXͰܭࢉ͢Δཧ༝ͳ͍ͱࢥ͏ (16ͷࢄڥͰਅՁΛൃش͢Δʁ
ࢀߟจݙ 5FOTPS'MPX IUUQTXXXUFOTPSqPXPSH ,B[VOPSJ4BUP IUUQTTQFBLFSEFDLDPNLB[VOPSJDMPVEWJTJPOBQJBOEUFOTPSqPX
8JLJQFEJB IUUQTKBXJLJQFEJBPSHXJLJνϡʔϦϯάɾύλʔϯ ౻Ҫଂ lྲྀମྗֶͷܭࢉ๏z ౦ژେֶग़൛ձ ۔ߒ lඍํఔࣜʹΑΔཧϞσϧͱෳࡶܥz ݱֶࣾ ࡕ࣏ Ֆྠ ३Ұ zݱͷఱจֶγϛϡϨʔγϣϯఱจֶz ຊධࣾ ߐ७ ాܡҰ കଜխ೭ lӉྲྀମྗֶͷجૅz ຊධࣾ $ZSJMMF3PTTBOU ༁٠জ l*1ZUIPOσʔλαΠΤϯεΫοΫϒοΫz ΦϥΠϦʔɾδϟύϯ
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠