reinvent-ml-mini-con

JAWS-UG AI 支部 #2 での登壇資料です

Transcript

1. AWS Ͱ࢝ΊΔ DeepLearning re:Invent 2016 Machine Learning Mini Con ࢀՃใࠂ JAWS-UG AI ࢧ෦ @ 2016.12.09
2. @pottava SUPINF Inc.
3. ͍͖ͳΓͰ͕͢
4. FizzBuzz ஌͍ͬͯΔਓʙʁ
5. FizzBuzz ॻ͚Δਓʙʁ
6. ɹfor i in range(1,101): ɹ if i % 15 == 0: ɹ print 'FizzBuzz' ɹ elif i % 3 == 0: ɹ print 'Fizz' ɹ elif i % 5 == 0: ɹ print 'Buzz' ɹ else: ɹ print i ɹͰ͢Ͷɺྫ͑͹ɻ
7. Ͱ͸
8. ػցֶशͰ FizzBuzz ղ͚Δਓʙʁ
9. ʁʁʁ
10. ίϯϐϡʔλʹσʔλΛ౉ͯ͠ ύλʔϯΛݟ͚ͭͤ͞Δ
11. Ξϓϩʔν Ͳ͏ղ͔͘ ໋ྩత ɹfor i in range(1,101): ɹ if i % 15 == 0: ɹ print 'FizzBuzz' ɹ elif i % 3 == 0: ɹ print 'Fizz' ɹ elif i % 5 == 0: ɹ print 'Buzz' ɹ else: ɹ print i ػցֶश େྔͷσʔλΛ౉͠... ༧ଌਫ਼౓ΛߴΊΔ... parameter result 6 Fizz 7 7 10 Buzz 30 FizzBuzz …
12. Ҏ্ɺͱ͋ΔϫʔΫγϣοϓͰͷ ΞΠεϒϨΠΫͰͨ͠ɻ
13. ຊ୊
14. AWS Ͱ࢝ΊΔ DeepLearning
15. ࠓ೔ͷ࿩୊ ɾ࠷ۙ͋ͬͨ Amazon ػցֶशܥχϡʔεͱ DL ɾre:Invent Machine Learning Mini Con ใࠂ ɾMXNet ʹ͍ͭͯ ɾϫʔΫγϣοϓͷ༷ࢠͱ࣮ྫ
16. Amazon ػցֶशܥχϡʔε
17. ɾAmazon Echo ɾAmazon Go AI ΧϯύχʔɺAmazon.com
18. Amazon Echo ɾAmazonʮୈ࢛ͷऩӹͷபʯ͸ 2020 ೥·Ͱʹ 110 ԯυϧՔ͙ ɹਓ޻஌ೳΞγελϯτʮAlexaʯͱ ɹԻ੠ίϯτϩʔϥʔͷʮEchoʯ ɹhttp://thebridge.jp/2016/09/amazon-echo-alexa-add-11-billion-in-revenue-by-2020-2016-9-pickupnews ɾhttps://www.amazon.jobs/en/teams/alexa ɾre:Invent Ͱ͸ echo dot ͕ࢀՃऀʹ഑ΒΕ·ͨ͠
19. Amazon Echo
20. Amazon Echo Alexa ʹԻ੠Ͱ͓ئ͍ɾ࣭໰͢ΔͨΊͷσόΠεɻ ʢAlexa ͸ Amazon ͕։ൃͨ͠ AI ʣ ʮΞϨΫαɺUber ΛݺΜͰɻࠓ೔ͷఱؾ͸ʁ ʯ ʮΞϨΫαɺ͜ͷۂͷԋ૗ऀ͸୭ʁԻྔΛ্͛ͯʯ
21. Amazon Echo 1. Ի੠Λฉ͖औΓ 2. ԿΒ͔ͷॲཧΛͯ͠ 3. Ի੠Λฦ͢
22. Amazon Echo 1. Ի੠Λฉ͖औΓ 2. ԿΒ͔ͷॲཧΛͯ͠ 3. Ի੠Λฦ͢ Amazon Lex Amazon Polly
23. ɾAmazon Echo ɾAmazon Go AI ΧϯύχʔɺAmazon.com
24. Amazon Go
25. Amazon Go 1. ೖళ࣌ɺήʔτʹεϚϗΞϓϦΛ͔͟͢ 2. ΄͍͠΋ͷΛόοάʹೖΕΔ 3. ͓ళΛग़Δ Coming early 2017 !! 2131 7th Ave Seattle, Washington
26. Amazon Rekognition ଞࣾͰ΋੝Μͳ Computer vision API ͷҰछɻ
27. Amazon Rekognition ਂ૚ֶशϕʔεͷը૾ೝࣝ APIɻ ɾҰൠ෺ମ / ৘ܠݕग़ ɾද৘෼ੳ ɾإͷྨࣅ౓൑ఆ
28. Amazon Rekognition ΍ͬͯΈͨ
29. Amazon Rekognition ฐࣾ༐ऀͷ ྨࣅ౓൑ఆɻ
30. re:Invent Machine Learning Mini Con
31. Machine Learning Mini Con ɾػցֶशܥͷηογϣϯ / ϫʔΫγϣοϓ ɾhttp://bit.ly/reinvent-2016-ml ɾࠓ೥͸ 17 ηογϣϯ ɾϫʔΫγϣοϓҎ֎͸ YouTube ͰݟΕ·͢
32. ೖ໳ฤ ɾMAC201: Amazon Mechanical Turk Λ࢖ͬͯҰൠతಛ௃Λ͔ͭΉ ɾMAC202: Alexa ʹ͓͚Δਂ૚ֶश ɾMAC203: Amazon Rekognition ͷ͝঺հ ɾMAC204: Amazon Polly ͷ͝঺հ ɾMAC205: Ϋϥ΢υΒ͘͠εέʔϧ͢Δਂ૚ֶश: ɹɹɹɹɹ AWS Ͱ Caffe ΛεέʔϧΞοϓͯ͠ϏσΦݕࡧΛվળ͢Δ ɾMAC206: ػցֶशͷݱঢ়
33. தڃฤ ɾMAC301: ਂ૚ֶशͰ޻৔ͷϓϩηεΛม͍͑ͯ͘ ɾMAC302: ෆಈ࢈Ͱͷઓུత༏ҐͷͨΊʹ Amazon ML, Redshift, S3 σʔλϨΠΫΛ׆༻͢Δ ɾMAC303: Amazon EMR ͱ Apache Spark ͰΫϥε෼ྨͱ ϨίϝϯσʔγϣϯΤϯδϯΛ։ൃ͢Δ ɾMAC304: Amazon Lex ͷ͝঺հ ɾMAC306: MXNet Λ࢖ͬͯϨίϝϯσʔγϣϯϞσϧΛߏங͢Δ ɾMAC306-R: MXNet Λ࢖ͬͨਂ૚ֶश
34. தڃฤ ɾMAC307: Predicting Customer Churn with Amazon ML ɾMAC308: ϫʔΫγϣοϓ: Amazon Lex, Amazon Polly ͦͯ͠ Amazon Rekognition Λ࢖ͬͨϋϯζΦϯ ɾMAC309: Amazon Polly ͱ Amazon Lex ͷ͝঺հ
35. ্ڃฤ ɾMAC401: Scalable Deep Learning Using MXNet ɾMAC403: Automatic Grading of Diabetic Retinopathy ɹɹɹɹɹ through Deep Learning
36. ৄࡉ͸ YouTube ͱ Slideshare Ͱ
37. ϐοΫΞοϓ ɾMAC201: Amazon Mechanical Turk Λ࢖ͬͯҰൠతಛ௃Λ͔ͭΉ ɾMAC206: ػցֶशͷݱঢ় ɾMAC306: MXNet Λ࢖ͬͯϨίϝϯσʔγϣϯϞσϧΛߏங͢Δ ɾMAC401: Scalable Deep Learning Using MXNet
38. MAC201 Mechanical Turk Ͱػցֶश༻σʔλΛ࡞Δ ɾhttps://www.youtube.com/watch?v=vRtLdeNl7Tg ɾେྔͷɺߴ඼࣭ͳσʔληοτ͸ूΊʹ͍͘ ɾϝΧχΧϧλʔΫʹͦͷ࡞੒Λґཔ͢Δ
39. MAC206 Amazon ૑ۀ͔Β࠷৽ AI αʔϏε·Ͱ঺հ ɾhttps://www.youtube.com/watch?v=HqsUfyu0XJc ɾDeep Learning AMI, MXNet, Alexa ͳͲͳͲ.. ɾޙ൒͸ܯ࡯ʹαʔϏεఏڙ͢ΔϞτϩʔϥͷࣄྫ
40. MXNet
41. ֶशϑϨʔϜϫʔΫ ͲΕ͕͓޷ΈͰ͔͢ɾɾʁ MXNet / TensorFlow / Caffe / Chainerɻ ɾͲͷχϡʔϥϧωοτ࢖͏ͷʁCNNʁRNNʁ ɾGPU ࢖͏ͷʁCPU ͚ͩʁෳ਺ϊʔυ࢖͏ʁ ɾࠃ࢈ΛԠԉʁ
42. AWS ͸ MXNet Ұ୒ײ͋Δ ɾ͑ɺAmazon DSSTNE ɾɾ ɾͱ͸͍͑ଞͷ΋ݕ౼͍ͨ͠ํ͸ͪ͜Β ɹ CMP314: Bringing Deep Learning to the Cloud with Amazon EC2 https://www.youtube.com/watch?v=34Xorby_pyw
43. MAC306 Netflix ͷϨίϝϯυྫΛ௨ͯ͡ DL / MXNet Λৄઆ ɾhttps://www.youtube.com/watch?v=cftJAuwKWkA ɾDeep Learning ͷॳา͔Βɻͱͯ΋෼͔Γ΍͍͢ ɾGitHub ͷ MXNet ϦϙδτϦʹ͋ΔαϯϓϧΛσϞ https://github.com/dmlc/mxnet/tree/master/example/recommenders
44. ϫʔΫγϣοϓͷ༷ࢠͱ࣮ྫ
45. ϫʔΫγϣοϓʁ ϋϯζΦϯܗ͕ࣜଟ͍ɻάϧʔϓϫʔΫ΋͋ͬͨΓɻ ɾ࣮ࡍʹखΛಈ͔͢ͷͰͱͯ΋ཧղ͕ਐΉ ɾ·ΘΓͷࢀՃऀͱͷίϛϡχέʔγϣϯ .. !! ɾre:Invent ʹߦ͘ͳΒ௨ৗηογϣϯΑΓΦεεϝ
46. MAC401 ECS ্Ͱ MXNet ʹΑΔ DL ͷֶशɾਪ࿦Λମݧ ɾECS ͷ Runtask + CPU ͷΈ ɾGitHub ͷ awslabs ϦϙδτϦΛར༻ https://github.com/awslabs/ecs-deep-learning-workshop/
47. ࢼ͢ͷ͸ͱͯ΋؆୯ CloudFormation ʹΑΔ EC2 / ECS ౳ੜ੒ɻͦͷޙ.. ɾLab 3: ECS Ͱ MXNet ͷ Jupyter notebook ىಈ ɾLab 4: MXNet ʹΑΔը૾ͷΫϥε෼ྨ ɾLab 5: ECS λεΫͱͯ͠ը૾ΛΫϥε෼ྨ
48. Deep Learning AMI http://qiita.com/pottava/items/c79117089be2406b127f
49. ͓஌Βͤ
50. དྷि͸ JAWS-UG ίϯςφࢧ෦
51. ECS Λத৺ʹɺίϯςφ·ΘΓͷ࠷৽৘ใΛ͓ಧ͚ʂ http://jawsug-container.connpass.com/
52. Amazon ECS ɾࠓ೥͸ ECS ͰδϣϒΛ૸ΒͤΔηογϣϯ͕ෳ਺ ɾMXNet on ECS ͷϫʔΫγϣοϓ͸ੈքͰ΋ਓؾ ɾECS Ϋϥελ্Ͱ MXNet ͷֶशɾਪ࿦
53. AWS Batch ɾECS ্ʹ HPC ۀքͷҙຯʹ͍ۙΫϥελΛߏஙɻ ɾδϣϒεέδϡʔϥ ≠ ίϯςφք۾ͷεέδϡʔϥ ɾECS ্ͳͷͰɺ࣮͸ίϯςφϕʔε ɾGlue ΍ EFS ͱͷ૊Έ߹Θͤ௒ॏཁ
54. ͓ΘΓ
55. גࣜձࣾεϐϯϑ ΞΠσΟΞΛ͔ͨͪʹʂ +
56. http://prtimes.jp/main/html/rd/p/000000007.000007768.html Comfy for Docker ϓϩδΣΫτ΁ͷ Docker ಋೖɾ։ൃࢧԉɾӡ༻؂ࢹ୅ߦΛ͍ͨ͠·͢ɻ ʢGCP / Azure ΋΋ͪΖΜରԠ͍ͯ͠·͢ɾɾʣ https://www.supinf.co.jp/service/dockersupport/
57. ͝૬ஊ͸͓ؾܰʹͪ͜Β·Ͱ.. 57 <Thank you !! https://www.supinf.co.jp/service/dockersupport/