Alexa x 機械学習でスキルをよりリッチにする方法

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

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chao2suke

April 06, 2019
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  1. Alexa x ػցֶशͰ εΩϧΛΑΓϦονʹ͢Δํ๏ Ϋϥεϝιουגࣜձࣾͤʔͷ

  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[PO3FLPHOJUJPO ը૾෼ੳͷʮ3FLPHOJUJPOJNBHFʯͱಈը෼ੳͷʮ3FLPHOJUJPO7JEFPʯ "NB[PO$PNQSFIFOE ςΩετ಺ͰΠϯαΠτ΍ؔ܎ੑΛݕग़͢ΔࣗવݴޠॲཧαʔϏε "NB[PO5SBOTDSJCF 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 "HFBOE(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 ΠϯςʔδɾσʔληοτʢJTTQσʔλ57 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 )VNBO1PTF&TUJNBUF%BUBTFU ਓؒͷϙʔζਪఆΛֶश͢ΔͨΊͷ΋ͷ ڞ༗σʔληοτ
  78. σʔλͷ֬อํ๏ ਫ૿͢͠Δ సҠֶश

  79. #vuishow Ͱݕࡧ