Alexa x 機械学習でスキルをよりリッチにする方法

2019/04/06 Alexa Day 2019 登壇資料

Transcript

1. Alexa x ػցֶशͰ εΩϧΛΑΓϦονʹ͢Δํ๏ Ϋϥεϝιουגࣜձࣾ
   ͤʔͷ
2. ਗ਼໺ ߶࢙ʢͤʔͷʣ Ϋϥεϝιουגࣜձࣾ ࡳຈΦϑΟεॴଐ ׆ಈ಺༰ ίϛϡχςΟʮAlexa Salonʯओ࠵ ίϛϡχςΟʮAmazon Alexa Japan User GroupʯӡӦ Amazonೝఆ Alexa ΤʔδΣϯγʔ ॻ੶ʮ͸͡ΊͯͷAlexaεΩϧ։ൃʯࣥච Classmethod, Inc. AI Solution Department Alexa Technical Evangelist / VUI Architect
3. ػցֶश
4. Alexa ASR (Auto Speech Recognition) NLU(Natural Language Understantding) TTS(Text to Speech)
5. όοΫΤϯυ
6. ࣗ෼ͰϞσϧΛߏங͢Δ
7. AIΛར༻͢Δࡍͷ՝୊ʢෳ਺ճ౴ʣ "*ʹ͍ͭͯͷཧղ͕ෆ଍͍ͯ͠Δ ಋೖޮՌ͕ಘΒΕΔ͔ෆ҆ खܰʹಋೖͰ͖Δ"*ͷαʔϏε΍੡඼͕ͳ͍ ಋೖඅ༻͕ߴ͍ "*ͷΤϯδχΞ͕ෆ଍͍ͯ͠Δ "*ͷಋೖࣄྫ͕ෆ଍͍ͯ͠Δ     
8. AIಋೖͷޮՌ     ظ଴௨ΓͷޮՌ͕ग़ͨ ޮՌΛଌఆ͍ͯ͠ͳ͍ ಋೖͨ͠͹͔ΓͷͨΊ·ͩޮՌ͕Θ͔Βͳ͍ ͲͪΒͱ΋͍͑ͳ͍
9. ࢖͍ํ͕Θ͔Βͳ͍
10. Agenda ɾػցֶशͷ؆୯ͳઆ໌ ɾػցֶशΛೖΕΔલʹߟ͑Δ͜ͱ ɾϢʔβʔ͸ԿΛٻΊ͍ͯΔͷ͔ ɾؾΛ͚ͭͨํ͕͍͍͜ͱ
11. ػցֶशͷ؆୯ͳઆ໌
12. ڭࢣ͋Γֶश(෼ྨ) ҟৗݕ஌ ը૾ೝࣝ
13. ڭࢣ͋Γֶश(ճؼ) ച্༧ଌ धཁ༧ଌ
14. ڧԽֶश(Reinforcement Learning)
15. ڧԽֶश ήʔϜ ࣗಈӡస
16. DeepRacer
17. DeepRacerಉ޷ձ 5/16 େࡕ։࠵ܾఆ!!
18. ػցֶश։ൃ
19. ։ൃ
20. ओͳOSS Caffe Berkeley ը૾ೝࣝ޲͖ɾߴ଎ TensorFlow Google Ϣʔβʔ਺࠷ଟ Chainer PFN ࢖͍΍͍͢ CNTK Microsoft RNNʹڧ͍ MXNet Apacheࡒஂ AWSͱͷ૬ੑ͕ྑ͍
21. ֶश
22. ओͳAIΫϥ΢υαʔϏε ૊৫໊ αʔϏε໊ ର࿩ܕπʔϧ Google Google Cloud
 Machine Learning Google Colaboratory Amazon Amazon AI Amazon SageMaker Microsoft Azure Machine Learning Azure Notebooks IBM Watson Data Platform DataScience Experience
23. ਪ࿦
24. ػցֶशΛೖΕΔ
 લʹߟ͑Δ͜ͱ
25. ϧʔϧϕʔεͱֶशϕʔε͸
 ਫ਼ີ౓ʹΑͬͯ෼͚Δ
26. VUIͰ΍ͬͨํ͕͍͍ʁ
27. εϚϗͷํ͕͸΍͘Ͷʁ
28. ͜Εػցֶश࢖͏ʁ
29. ϧʔϧϕʔε
30. ϧʔϧϕʔε = Ifจͷ࿈ଓ
31. ϧʔϧϕʔε ঎඼A ঎඼B
32. ϧʔϧϕʔε If ( Λങͬͨ) { } Λ͓͢͢Ί͢Δ;
33. ϧʔϧϕʔε If ( Λങͬͨ) { } Λ͓͢͢Ί͢Δ; ηοτׂҾ͢Δ;
34. ϧʔϧϕʔεͷ͍͍ͱ͜Ζ = ࣮֬ੑ͕ߴ͍
35. ϧʔϧϕʔεͷۤखͳͱ͜Ζ = ༥௨͕͖͔ͳ͍
36. ɾ࣮֬ੑ͕ߴ͍ ɾීวత ɾ৽͍͠ൃݟ͕গͳ͍ ɾ஌ݟ͕ੵΈॏͳ͍ͬͯΔ = ϧʔϧϕʔε
37. ΞμϓςΟϒϥʔχϯά
38. ਺ֶ
39. ؔ਺ ਺ͱࣜ ฏ໘ɾۭؒ ߴ2 ࡾ֯ؔ਺ɺࢦ਺ؔ਺ɺର਺ؔ਺ ࣜͱূ໌ɺߴ࣍ํఔࣜɺ
 ඍੵ෼ ฏ໘ϕΫτϧɺ
 ۭؒϕΫτϧ ߴ1 ೋ࣍ؔ਺ɺࡾ֯ൺ ਺ͱࣜɺํఔࣜɺෆ౳ࣜ ฏ໘ਤܗ த3 ೋ࣍ؔ਺ ฏํࠜɺల։ɺҼ਺෼ղɺ ೋ࣍ํఔࣜ ૬ࣅɺࡾฏํͷఆཧ ԁͷੑ࣭ த2 Ұ࣍ؔ਺ ࿈ཱೋݩҰ࣍ํఔࣜ ߹ಉ த1 ൺྫɺ൓ൺྫ ਖ਼ෛɺҰݩҰ࣍ํఔࣜ Ҡಈɺ౤Ө খ6 ൺɺൺྫ ҟ෼฼෼਺ͷ৐আ ֦େɺॖখɺରশ
40. ίετ໰୊
41. ϚωʔδυαʔϏε
42. AWSͷओͳAIܥϚωʔδυαʔϏε "NB[PO
    .- ճؼ෼ੳɺೋ߲෼ྨɺଟ߲෼ྨͷֶशɺਪ࿦͕ߦ͑Δ "NB[PO
    3FLPHOJUJPO ը૾෼ੳͷʮ3FLPHOJUJPO
    JNBHFʯͱಈը෼ੳͷʮ3FLPHOJUJPO
    7JEFPʯ "NB[PO
    $PNQSFIFOE ςΩετ಺ͰΠϯαΠτ΍ؔ܎ੑΛݕग़͢ΔࣗવݴޠॲཧαʔϏε "NB[PO
    5SBOTDSJCF Ի੠ΛςΩετʹม׵͢Δ
43. ֶशࡁΈϞσϧ
44. ओͳֶशࡁΈϞσϧ "MFY/FU ࠷ॳظͷը૾ೝࣝ༻χϡʔϥϧωοτϫʔΫϞσϧ HPPH-F/FU (PPHMF͕։ൃͨ͠ը૾ೝࣝ༻χϡʔϥϧωοτϫʔΫΛ#7-$
    ͕ಠࣗʹֶशͨ͠΋ͷ 1MBDFT
    $// ֶशͨࣸ͠ਅ͔Β৔ॴΛਪఆ͢Δ %FFQ
    )BOE खͷܗΛೝࣝ͢Δ 7JEFP5FYU@7(( ಈը͔ΒςΩετΛࣗಈੜ੒͢Δ "HF
    BOE
    (FOEFS ೥ྸٴͼੑผΛೝࣝ͢Δ (PPHMF/FU@DBST ࣗಈंͷछผΛೝࣝ͢Δ )PMJTUJDBMMZ/FTUFE
    &EHF
    %FUFDUJPO ྠֲΛݕग़͢Δ
45. ਪ࿦ରশσʔλ͸
 AlexaҎ֎ͷσόΠε΋ݕ౼͢Δ
46. ࿈ܞσόΠε Χϝϥ ϚΠΫ ηϯαʔ
47. εϚʔτϑΥϯ
48. Ϣʔβʔ͸ԿΛٻΊ͍ͯΔͷ͔ʁ
49. ศར͞
50. Ϣʔβʔ͸ԿʹͳΒ͓ۚΛ෷͏ͷ͔?
51. ਪ࿦ͷྲྀΕ ޮ཰Խ ࣗಈԽ ෇ՃՁ஋Λ্͛Δ ଟ༷Խ
52. Mobileeye
53. झຯᅂ޷ʹ͋ͬͨσʔλͷԠ༻
54. ޮ཰ԽɾࣗಈԽ
55. ޮ཰ԽɾࣗಈԽ ҟৗݕ஌ ӡ༌ RPA
56. ϖΞഊऀ
57. A͞Μ B͞Μ A͕͍͍ʂ A͸͍΍ B͕͍͍ʂ
58. A͞Μ C͞Μ A͕͍͍ʂ A͸͍΍ C͕͍͍ʂ
59. A͞Μ C͞Μ A͕͍͍ʂ B͕͍͍ʂ C͕͍͍ʂ B͞Μ
60. Ԡ౴ੜ੒
61. ϨεϙϯεΛࣗಈੜ੒͢Δ
62. ཁ໿ ʹText Summarization Model
 (TensorFlow)
63. ෇ՃՁ஋Λ͋͛Δ
64. ෇ՃՁ஋Λ͋͛Δ IoT Ϩίϝϯυ
65. ిؾͷফ͠๨Ε
66. ిؾͷফ͠๨Ε
67. AMAZON.MessageAlert.Activated
 (ProActive API)
68. COBOTTA(ඒ࿨ిؾ޻ۀʣ
69. ෇ՃՁ஋Λ͋͛Δ IoT Ϩίϝϯυ
70. υϥΠϒεϧʔ
71. ଟ༷Խ
72. ෇ՃՁ஋Λ͋͛Δ ۚ༥ ڭҭ ҩྍ
73. ਓͱAI͕ڠௐ͠ɺͱ΋ʹ੒௕͢Δ ख़࿅ऀ ػցֶश ॳڃऀ
74. ؾΛ͚ͭͨํ͕͍͍͜ͱ
75. σʔλͷऩू
76. :BIPPσʔληοτ ZBIPP஌ܙାσʔλ ָఱσʔληοτ ָఱࢢ৔঎඼σʔλͱϨϏϡʔσʔλɺָఱτϥϕϧͷࢪઃσʔλͱϨϏϡʔσʔλʣ χίχίσʔληοτʢχίχίಈըίϝϯτ౳σʔλʣ ϦΫϧʔτσʔληοτʢϗοτϖούʔϏϡʔςΟʔσʔλʣ ΫοΫύουσʔληοτʢϨγϐσʔλͳͲʣ -*'6--
    )0.&`4σʔληοτʢ௞ି෺݅σʔλͳͲʣ ΠϯςʔδɾσʔληοτʢJTTQσʔλ
    57
    1$
    εϚϗͰͷϝσΟΞ઀৮σʔλͳͲʣ Φʔϓϯσʔληοτ
77. *NBHF/FU Ұൠը૾ΛूΊͯ෼ྨͨ͠΋ͷ ./*45 खॻ͖਺ࣈ .4$0$0 ը૾ηϚϯςΟοΫηάϝϯςʔγϣϯ༻ 8.5 ӳޠͱϑϥϯεޠɺυΠπޠɺεϖΠϯޠͳͲͷର༁ू $PSOFMM
    .PWJF%JBMPHT
    $PSQVT өըͷࣈນΛ·ͱΊͨ΋ͷ 7((
    'BDF
    %BUBTFU إը૾ )VNBO
    1PTF
    &TUJNBUF
    %BUBTFU ਓؒͷϙʔζਪఆΛֶश͢ΔͨΊͷ΋ͷ ڞ༗σʔληοτ
78. σʔλͷ֬อํ๏ ਫ૿͢͠Δ సҠֶश
79. #vuishow Ͱݕࡧ