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ryo nakamaru
December 08, 2016
Technology
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20 minutes DeepLearning
re:Port 2016 での登壇資料です。
ryo nakamaru
December 08, 2016
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Transcript
20 ͰΘ͔Δ DeepLearning AWS re:Invent ѲͷҰॿʹ re:Port 2016 @ 2016.12.07
தؙ ྑ @pottava SUPINF Inc.
ૣͰ͕͢ΫΠζͰ͢
re:Invent 2016 ϒϨΠΫΞτηογϣϯʁ
393 ʢAWS re:Invent2016ʲอଘ൛ʳશηογϣϯΛཏʂඇެࣜ·ͱΊ #reinvent ʛ Developers.IOʣ
re:Invent 2015, 2014 ϒϨΠΫΞτηογϣϯʁ
298, 214 ʢAWS re:Invent2015ʲอଘ൛ʳશηογϣϯΛཏʂඇެࣜ·ͱΊ #reinvent ʛ Developers.IOʣ ʢ2014ฐࣾͷϒϩάΑΓงғؾͰूܭʣ
Ͱ
re:Invent 2017 ϒϨΠΫΞτηογϣϯʁ
214 → 298 → 393 → ?
͜ΕΛػցʹ༧ଌͤ͞Δ ͦͷϓϩηε͕ػցֶश
͜ΕΛػցʹ༧ଌͤ͞Δ ͦͷϓϩηε͕ػցֶश
ຊ
20 ͰΘ͔Δ DeepLearning
20 ͰΘ͔Δ DeepLearning ͞ΘΓ͕
ΰʔϧ ɾձࣾʹ re:Invent ͷ͔͍͍ͬ͜ϨϙʔτΛग़ͤΔ ɾࠓճͷ Deep Learning ܥαʔϏεͳΒԶʹฉ͚ ɾࣾɺ࣌ AI
͢Α
ΰʔϧ ɾձࣾʹ re:Invent ͷ͔͍͍ͬ͜ϨϙʔτΛग़ͤΔ ɾࠓճͷ Deep Learning ܥαʔϏεͳΒԶʹฉ͚ ɾࣾɺ࣌ AI
͢Α ɹ΄Μͱʹݴ͏ͱΠλ͍
ࠓͷྲྀΕ 1. Deep Learning ͬͯͳΜͳͷʁ 2. ͦͷ্Ͱ AWS ͷൃදͬͯͲ͏ͩͬͨͷʁ
Deep Learning ͱ
ͷ·͑ʹ
Machine Learning ͱ
ػցֶशͷେલఏ ػցֶशʹ 2 ͭͷϑΣʔζ͕͋Γ·͢ɻ ͦΕ ֶशɹͱɹ ਪ
ֶशͱ ΑΓ͏·͘ʹରॲͰ͖ΔΑ͏ʹͳΔաఔͷ͜ͱɻ
͡Ό͋ਪʁ ֶΜͩ͜ͱΛͬͯΛղ͘͜ͱɻ
͜Εֶश
͜Εਪ
͜Εֶश
͜Εਪ དྷ re:Invent ߦ͖͍ͨΜ͚ͩͲ ձࣾʹԿΛใࠂ͢Δͷ͕ਖ਼ղʁ
େࣄͳ͜ͱͳͷͰ͏Ұ ػցֶशͷ 2 ͭͷϑΣʔζɿ ֶशɹͱɹ ਪ
ͳΔ΄Ͳ
ػցֶशʢMachine Learningʣͱ ػցʹֶशͤ͞ɺਪͤ͞Δ͜ͱɻ ղ͖͍ͨ࣍ୈͰɺֶशɾਪͷํ๏Λม͑Δɻ ɾճؼ ɾΫϥεྨ ɾΫϥελϦϯά ɾ..
Deep Learning ͱ
DeepLearningͱ
DeepLearningͱ ͳΔ΄Ͳɺ͍͍
Կͷਂ͍ϨΠϠʔʢχϡʔϥϧωοτϫʔΫʣΛ ͬͯɺֶशɾਪ͢Δػցֶशͷ͜ͱɻ ϨΠϠʔ͕ਂ͍͔ΒσΟʔϓɻ ຊޠͳΒɺਂֶशɻਂ͍ɻ DeepLearningͱ
ػցֶशʢMLʣͱਂֶशʢDLʣ ML DL ɾ౷ܭతੳʢճؼɺΫϥεྨɾɾʣ ɾਐԽతܭࢉ ɾχϡʔϥϧωοτϫʔΫ ɾ… ɾΈࠐΈχϡʔϥϧωοτϫʔΫʢCNNʣ ɾ࠶ؼܕχϡʔϥϧωοτϫʔΫʢRNNʣ ɾਂ
Q ωοτϫʔΫʢDQNʣ ɾ…
ɾAlphaGo ɾ?? ɾ?? DeepLearning Կ͕͍͢͝ͷʁ
AlphaGo ਓؒͷੈքҰʹίϯϐϡʔλ͕উͬͯ͠·ͬͨɾɾʂ ͍ͭ࠷ۙ·ͰɺAI ع࢜ʹউͯͳ͍ɺͦͯ͠ϒϨΠΫεϧʔʹ 10 ͨͶͳΒͳ͍ͱݴΘΕ͍ͯͨͷʹɺͩɻ
ʢจ: http://www.nature.com/nature/journal/v529/n7587/abs/nature16961.html ʣ • 4ͭͷσΟʔϓχϡʔϥϧωοτϫʔΫΛར༻ • ͦΕͧΕ ॳڃऀpπ / தڃऀpσ
/ ্ڃऀpρ / அvθ ͱ͍ͬͨҐஔ͚ • pπ ਓؒͷ800ສͷ൫໘σʔλΛݩʹֶशɻਫ਼͍͕ߴʹղΛಘΔɻ • pσ 13ͷCNNɻ3,000ສ൫໘Λ50GPUͰ3.4ԯεςοϓɺ3िֶؒशɻϓϩͷࢦ ͠खΛ57.0%ͷਫ਼Ͱ༧Ͱ͖Δɻ • pρ 50GPUͰ1͔͚128ສճࣗݾରઓɻطଘιϑτʹ85%ͷѹతউɻ • vθ pσ ͰϥϯμϜʹ3,000ສ൫໘Λੜ͠ɺpρ Ͱ1ԯ6,000ສճϩʔϧΞτͨ͠ উΛڭࢣσʔλͱ͠ɺ50GPUͰҰिؒ 5,000ສճ֬ޯ߱Լ๏Λ࣮ࢪɻ • ࣮ରઓͰ1,202CPU+176GPU͕ΘΕɺpσͰ࣍ͷखબɺvθͰ൫໘ධՁɻ • উ͍͍͕ཧ٧ΊͷpρΑΓɺਓؒͷบΛֶΜͩpσΛ͔ͬͨɻ • উҼ pρ ͷపఈతͳڧԽֶशʹՃ͑ɺϞϯςΧϧϩ୳ࡧͱCNNͷ߹͔ͤɻ AlphaGo
ɾAlphaGo ɾAmazon Go ɾ?? DeepLearning Կ͕͍͢͝ͷʁ
Amazon Go 1. ೖళ࣌ɺήʔτʹεϚϗΞϓϦΛ͔͟͢ 2. ΄͍͠ͷΛόοάʹೖΕΔ 3. ͓ళΛग़Δ Coming early
2017 !! 2131 7th Ave Seattle, Washington
Amazon Go
Amazon Go ళ಄Ͱɺਪ͑͞ಈ͚͍͍ɻ ͍ɺͦΜͳ͜ͱΑΓ ͏ͪͷళฮʹ͜Εಋೖͯ͠Έ͍ͨΜͰ͚͢Ͳɾɾʂ
OK
ਂֶशϕʔεͷը૾ೝࣝ APIɻ ɾҰൠମ / ܠݕग़ ɾදੳ ɾإͷྨࣅఆ
Amazon Rekognition ଞࣾͰΜͳ Computer vision API ͷҰछɻ
Amazon Rekognition ฐࣾ༐ऀͷ ྨࣅఆɻ
ଓ͖·ͯ͠
ɾAlphaGo ɾAmazon Go ɾAmazon Echo DeepLearning Կ͕͍͢͝ͷʁ
Amazon Echo Alexa ʹԻͰ͓ئ͍ɾ࣭͢ΔͨΊͷσόΠεɻ ʢAlexa Amazon ͕։ൃͨ͠ AI ʣ
ʮΞϨΫαɺిؾΛ͚ͭͯɺԻָ͔͚ͯʯ ʮΞϨΫαɺUber ΛݺΜͰɻࠓͷఱؾʁ ʯ
Amazon Echo
Amazon Echo 1. ԻΛฉ͖औΓ 2. ԿΒ͔ͷॲཧΛͯ͠ 3. ԻΛฦ͢
Amazon Echo ɾӡసதͷϋϯζϑϦʔΞϓϦ࡞Γ͍ͨ ɾԻग़ྗɺTwillio ʹ͑ͦ͏ͳ ɾ..
OK
Amazon Polly ςΩετΛԻʹม͢Δ APIɻ ɾAlexa ͷԠػೳʮग़ൃ͍ͭͰ͔͢ʁʯ ɾຊޠʹରԠͯ͠Δʂ ɾXML ͰͤԻͷΧελϚΠζ͔ΜͨΜ
Amazon Lex ରΠϯλʔϑΣΠε + ࣗવݴޠղੳ APIɻ ɾϢʔβͱର͠ͳ͕Β࣍ͷॲཧΛஅ ɾ೦ͳ͕ΒɺݱࡏӳޠͷΈͷରԠ
Amazon Echo 1. ԻΛฉ͖औΓ 2. ԿΒ͔ͷॲཧΛͯ͠ 3. ԻΛฦ͢ Amazon Lex
Amazon Polly
ͪͳΈʹଞࣾͷঢ়گ
ɾVision API ɹը૾ೝࣝ APIɻମ / จࣈ / إ / ϩΰ
/ ϥϯυϚʔΫͷݕɻ ɾSpeech API ɹಉࣾͷར༻͢ΔԻʹΑΔςΩετೖྗΛ REST API Խɻ ɾNatural Language API ɹจষΛॻ͍ͨਓͷҙݟײɺݻ༗໊ࢺ࣌ؒදݱΛநग़ɻ ɾTranslate API ɹઍͷݴޠؒͰϦΞϧλΠϜʹςΩετΛ༁ɻ https://cloud.google.com/#products_machine-learning
ɾVision ɹը૾ೝࣝɾՃɺײੳɺإݕग़ɾಉҰఆɾྨࣅݕࡧɺಈըੳͳͲɻ ɾSpeech ɹจষͱԻͷ૬ޓมɺԻʹΑΔϢʔβࣝผɾೝূɻ ɾLanguage ɹݴޠɾτϐοΫɾΩʔϑϨʔζநग़ɺωΨϙδఆɺεϖϧνΣοΫɺ༧ଌɻ ɾKnowledge ɹࣝσʔλϕʔεΛ༻͍ͨੳɺ༧ଌɻ ɾSearch ɹWebɾಈըɾը૾ɾχϡʔεɾؔ࿈ϫʔυͷݕࡧɾऩूͳͲɻ
https://azure.microsoft.com/ja-jp/services/cognitive-services/
ɾLanguage ɹࣗવݴޠॲཧʹΑΔςΩετղੳɻಛఆใɾΩʔϫʔυɾίϯηϓτநग़ɺ ɹΧςΰϦྨɺײੳɺωΨϙδఆɺެจղੳɾҙຯ͚Ԡɻ ɾSpeech ɹจষͱԻͷ૬ޓมɻ ɾVision ɹը૾ೝࣝɻ ɾData Insights ɹχϡʔεϒϩάهࣄͷݕࡧɺτϨϯυੳɻ
ɹաͳબࢶͷআ֎ɺෳͷໃ६͢ΔΰʔϧΛؚΉΑ͏ͳෳࡶͳܾఆͷੳɻ https://www.ibm.com/watson/developercloud/services-catalog.html
ͳΔ΄ͲͰ͢Ͷɻ
ͯ͞ AWS ͷ 3 ͭͷ৽αʔϏε
Rekognition / Lex / Polly ͷڞ௨ શ෦ɺਪ API
ਪͷαʔϏεͱ͍͏͜ͱ ֶश AWS ͤɻ͜Μͳ͜ͱʹ͍͍ͯͳ͍ ɾࣗࣾͷΛը૾ݕग़͢Δ ɾࣗࣾͷΩϟϥΫλʔޠʁΛղऍͤ͞Δ ɾࣗࣾήʔϜͷຐ๏Λࣗવݴޠղੳͤ͞Δ
͑ʔ
ࣗࣾͷѻ͍͍ͨͳʔ
ํͳ͍ɺֶश͠Α͏
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ܭࢉ͠·͘Δίϯϐϡʔλࢿݯ͕ඞཁ
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σʔλΛूΊΑ͏ ʢ͜ͷલʹ͖͢ɺେࣄͳॾݕ౼ AWS αʔϏεؔͳ͍ͷͰஔ͍ͱ͍ͯʣ σʔλΛूΊͳ͚Ε࢝·Βͳ͍ʂ ɾKinesis Streams ɾCloudWatch Logs ɾS3
/ RDS / DynamoDB
ڭࢣσʔλΛ࡞Ζ͏ ·ͩಈը / εϥΠυͳ͔͚ͬͨͲɾɾ ϝΧχΧϧλʔΫΛ͏͕͋Γ·ͨ͠ɻ
ֶशϑϨʔϜϫʔΫΛબ΅͏ ͲΕ͕͍͍ΜͩΖ͏ɾɾʁ MXNet / TensorFlow / Caffe / Chainerɻ ɾͲͷχϡʔϥϧωοτ͏ͷʁCNNʁRNNʁ
ɾGPU ͏ͷʁCPU ͚ͩʁෳϊʔυల։ඞཁʁ ɾࠃ࢈Ԡԉͪ͠Ό͏ʁ ɾ..
AWS MXNet Ұͩͦ͏Ͱ͢ ɾ͑ɺAmazon DSSTNE ɾɾ ɾଞͷͷݕ౼͍ͨ͠ํͪ͜Β ɹ re:Invent
2016 Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)
Deep Dive ͍ͨ͠ํ
ࠓͷΛΑΓਂ͘ɺAI ؔ࿈ใ͚ͩͷ 120 ʂʂ http://jawsug-ai.connpass.com/
࠷ޙʹɺֶशΠϯϑϥબఆ
DL ͚ AWS ϚωʔδυαʔϏε దࡐదॴͰϐλΰϥεΠονɺࠓޙ͋Γ͑Δ ɾGlue ɾEMR ɾECS ɾBatch ɾ..
new! new!
͑ɺAmazon ML ʁ ML DL ͜͜ͷྖҬͰΛղ͘ͳΒͪΖΜ͑·͢ʂ Amazon ML
Amazon ECS ɾre:Invent Ͱͷ MXNet ϫʔΫγϣοϓָ͔ͬͨ͠ ɹhttps://github.com/awslabs/ecs-deep-learning-workshop/ ɾECS Ϋϥελ্Ͱ MXNet
ͷֶशɾਪ ɾDocker ίϯςφલఏʹͳΔ͕ ɾDocker ༷ʑϝϦοτ͕͋Γͭͭ ɾίϯςφΫϥελͱͯ͠ಈ͔͢ͳΒ࠷ߴ
AWS Batch ɾECS ্ʹ HPC ۀքͷҙຯʹ͍ۙΫϥελΛߏஙɻ ɾδϣϒεέδϡʔϥ ≠ ίϯςφք۾ͷεέδϡʔϥ ɾECS
্ͳͷͰɺίϯςφϕʔε ɾGlue EFS ͱͷΈ߹Θ͕ͤॏཁͦ͏
ECS ͱ Batch ɾֶशϑΣʔζɺେྔͷσʔλͱେྔͷܭࢉ - EFS / EBS / Batch
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Deep Dive ͢ΔͳΒ
ECS Λத৺ʹɺίϯςφ·ΘΓͷ࠷৽ใΛ͓ಧ͚ʂ http://jawsug-container.connpass.com/
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ͪͳΈʹଞࣾͷঢ়گ
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