ZOZO Researchの研究活動を支える Amazon SageMaker 利用 導入課題の解決と展開について / Using Amazon SageMaker to Support ZOZO Research Activities

Title
ZOZO Researchの研究活動を支える Amazon SageMaker 利用
導入課題の解決と展開について

Speaker
光野 達朗 Tatsuro Mitsuno （開発部SRE テックリード）
中村 拓磨 Takuma Nakamura （ZOZO Research リサーチサイエンティスト）

2019/06/14 AWS Summit Tokyo 2019 Day2 J2-03
https://aws.amazon.com/jp/summits/tokyo-2019/
#awssummit

Transcript

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    !12 Takuma Nakamura, Ryosuke Goto. Outfit Generation and Style Extraction via Bidirectional LSTM and Autoencoder. KDDW. https://arxiv.org/abs/1807.03133 தଜ୓ຏ, ࡈ౻ါً. (2019) “Set TransformerʹΑΔϑΝογϣϯίʔσΟωʔτબ୒”, ৘ใ࿦తֶश ཧ࿦ͱػցֶशݚڀձ (IBISML). https://speakerdeck.com/yukisaito/set-transformer-for-coordinating- outfits
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15. ˜
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     !17 ৗʹɺे෼ͳ୆਺Λ༻ҙ͢Δ ৗʹɺՔಇ཰Λߴ͘อͭ ཱ͍྆ͨ͠ Amazon SageMaker (SageMaker) ೥݄
    
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24. ˜
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25. ˜
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28. ˜
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    *OD !28 ΫΤϦ ༧ଌ݁Ռ ݚڀ੒Ռ
    
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sha1_base64="tcrm8is1sjUv+vEDWvmqA/D6eTA=">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</latexit> <latexit sha1_base64="tcrm8is1sjUv+vEDWvmqA/D6eTA=">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</latexit> 0.5⇥ <latexit sha1_base64="BLMXtHMoAf6LIq7CCRWO/fVnk4Q=">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</latexit> <latexit sha1_base64="BLMXtHMoAf6LIq7CCRWO/fVnk4Q=">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</latexit> <latexit sha1_base64="BLMXtHMoAf6LIq7CCRWO/fVnk4Q=">AAACbXichVHLSgMxFD0d3/VVFUFQpFh8rModURRXgggufVXFBzIzphqcFzNpQYs/4FpwIQoKIuJnuPEHXPgJ4sKFghsX3k4HREW9IcnJyT03J4np2zJURA8Jraq6prauviHZ2NTc0ppqa18KvUJgiZzl2V6wYhqhsKUrckoqW6z4gTAc0xbL5u5UeX+5KIJQeu6i2vPFhmNsuzIvLUMxtUrZ0fS6ko4IN1MZylIU6Z9Aj0EGccx6qSusYwseLBTgQMCFYmzDQMhtDToIPnMbKDEXMJLRvsABkqwtcJbgDIPZXR63ebUWsy6vyzXDSG3xKTb3gJVp9NM9XdML3dENPdL7r7VKUY2ylz2ezYpW+Juth10Lb/+qHJ4Vdj5Vf3pWyGM88irZux8x5VtYFX1x//hlYWK+vzRAF/TE/s/pgW75Bm7x1bqcE/MnSPIH6N+f+ydYGs7qlNXnRjKT0/FX1KMbfRji9x7DJGYwixyf6+IIpzhLPGudWo/WW0nVErGmA19CG/wAxa2NDg==</latexit> <latexit sha1_base64="BLMXtHMoAf6LIq7CCRWO/fVnk4Q=">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</latexit> = <latexit sha1_base64="mKNhi4l4+8NwtmcIDF9c3XG2cjo=">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</latexit> <latexit sha1_base64="mKNhi4l4+8NwtmcIDF9c3XG2cjo=">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</latexit> <latexit sha1_base64="mKNhi4l4+8NwtmcIDF9c3XG2cjo=">AAACZHichVHLSsNAFD2N7/potQiCIMVScVVuRFAEoSCCy7baVlApSZxqaJqEJC1o8Qd0q7hwpSAifoYbf8BFf0AQlwpuXHibBkSLeoeZOXPmnjtnZlTb0F2PqBmSurp7evv6B8KDQ8MjkejoWMG1ao4m8pplWM6mqrjC0E2R93TPEJu2I5SqaoiiWllp7RfrwnF1y9zwDmyxU1X2TL2sa4rHVHa5FE1QivyIdwI5AAkEkbGiN9jGLixoqKEKARMeYwMKXG5bkEGwmdtBgzmHke7vCxwhzNoaZwnOUJit8LjHq62ANXndqun6ao1PMbg7rIwjSY90S6/0QHf0TB+/1mr4NVpeDnhW21phlyLHE+vv/6qqPHvY/1L96dlDGYu+V5292z7TuoXW1tcPz1/Xl3LJxgxd0Qv7v6Qm3fMNzPqbdp0VuQuE+QPkn8/dCQpzKZlScnY+kV4NvqIfk5jGLL/3AtJYQwZ5PlfgBKc4Cz1JQ1JMGm+nSqFAE8O3kKY+AYEzicA=</latexit> <latexit sha1_base64="mKNhi4l4+8NwtmcIDF9c3XG2cjo=">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</latexit> ݚڀ੒Ռ
    
    ϑΝογϣϯελΠϧͷΫϥελϦϯάͱԋࢉ
30. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !30 Query item image Generated outfit Query style Mixture ratio Style A Style B Style C Style D Style A ݚڀ੒Ռ
    
    ϑΝογϣϯελΠϧຖͷίʔσΟωʔτੜ੒
31. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !31 4BHF.BLFSΛಋೖ࣮ͯ͠ݧ͸εέʔϧ͔ͨ͠
32. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !32 4BHF.BLFSΛಋೖ࣮ͯ͠ݧ͸εέʔϧ͔ͨ͠ εέʔϧͨ͠
33. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !33 4BHF.BLFS΁ͷҠߦ͸؆୯͔ͩͬͨ
34. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !34 4BHF.BLFS΁ͷҠߦ͸؆୯͔ͩͬͨ େมͩͬͨ
35. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !35 ۀ຿Λ4BHF.BLFSʹدͤΔ͜ͱͰޮ཰Խʹ੒ޭͨ͠
    ׳Εͨ΍ΓํΛม͑Δ͜ͱΛ᪳᪯Θͳ͍͜ͱ 4BHF.BLFS͸.-ϓϥοτϑΥʔϜͰ͋Γɺ.-։ൃۀ຿ͷϑϨʔϜϫʔΫͰ΋͋Δ ֶͼɾؾ෇͖
36. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !36 ։ൃ ֶश ෳ਺ͷαʔόͰฒߦͯ͠։ൃ ͯͦ͠ΕͧΕ࣮ߦ ಋೖલ ਪ࿦ ରࡦޙ ಋೖ
    
    ௚ޙ ʁ ʁ ʁ ʁ ʁ ʁ ར༻ଅਐͷҝͷऔΓ૊Έ &'4΍&$಺ͷετϨʔδʹ εφοϓγϣοτΛอଘ &'4ʹอଘ͞ΕֶͨशࡁΈ
    ϞσϧΛςετ༻&$Ͱ
    
    
    
    ϩʔυ࣮ͯ͠ߦ
37. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !37 ։ൃ ֶश ෳ਺ͷαʔόͰฒߦͯ͠։ൃ ͯͦ͠ΕͧΕ࣮ߦ ಋೖલ ਪ࿦ ରࡦޙ ಋೖ
    
    ௚ޙ ʁ ʁ ʁ ʁ ʁ ʁ ར༻ଅਐͷҝͷऔΓ૊Έ &'4΍&$಺ͷετϨʔδʹ εφοϓγϣοτΛอଘ &'4ʹอଘ͞ΕֶͨशࡁΈ
    ϞσϧΛςετ༻&$Ͱ
    
    
    
    ϩʔυ࣮ͯ͠ߦ
38. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !38 Πϯελϯεຖʹಠཱʹ࣮ݧͱίʔυमਖ਼Λ܁Γฦ͍ͯͨ͠
    ͕࣌ؒܦͭʹ࿈Εͯίʔυͱ࣮ݧͷόʔδϣϯ؅ཧ͕ෳࡶʹͳΓɺ͔ͭϦιʔε΋࢖͍੾Ε͍ͯͳ͍ ։ൃ ಋೖલ ͜Ε·Ͱͷ։ൃํ๏ͱ4BHF.BLFS΁ͷظ଴ training A notebook training B training C 4BHF.BLFSΛಋೖͯ͠ ࣮ݧ؀ڥΛՕॴʹू໿ ͢Δ͜ͱΛظ଴ͨ͠ scripts developed on the instance A training A1 training A2 scripts' developed on the instance A scripts'' developed on the instance A scripts developed on the instance B training B1 training B2 scripts' developed on the instance B scripts'' developed on the instance B scripts developed on the instance C training C1 training C2 scripts' developed on the instance C scripts'' developed on the instance C
39. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !39 ։ൃ ಋೖ௚ޙ ݦࡏԽͨ͠OPUFCPPLΠϯελϯεͷ໰୊ ☀
    δϣϒͱ͍͏୯ҐͰ࣮ݧΛ؅ཧͰ͖Δ
    ☀
    ࣮ݧΛΫϩʔϯͰ͖Δ
    ☀
    ՝ֹۚΛ࠷খԽͰ͖Δ
    +VQZUFS΍ΤσΟλͷΧελϚΠζ͕Ͱ͖ͳ͍
    
    TTIͰ͖ͳ͍
    
    JQZOCϑΝΠϧͱHJUͷ૬ੑ͕ѱ͍ OPUFCPPLΠϯελϯεΛ։ൃ؀ڥͱͯ͠ݟΔͱɺॊೈੑʹ͚ܽΔ఺͕໨ཱͬͨ
    ͜Ε·Ͱͷ։ൃ؀ڥͷ֦ுੑ͕ࣦΘΕΔͱڞʹɺJQZOCϑΝΠϧͷ؅ཧίετ͕ՃΘͬͨ ֶशδϣϒ࣮ߦ ։ൃ training A training B training C foo.py bar.py baz.yml
40. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !40 ։ൃ ରࡦޙ OPUFCPPLΠϯελϯεΛܦ༝͠ͳ͍ҝʹ͸ʜ training A training B training C foo.py bar.py baz.yml training A training B training C foo.py bar.py baz.yml OPUFCPPLΠϯελϯεͰͷ։ൃ࡞ۀΛ։ൃػʹҠߦ͠ɺ։ൃػ͔ΒδϣϒΛ࣮ߦ͢Δ
    ։ൃػʹ4BHF.BLFS
    4%,ΛΠϯετʔϧͯ͠ɺOPUFCPPLΠϯελϯεͱಉ౳ͷ໾ׂΛ༩͑Δ 
    QJQ
    JOTUBMM
    TBHFNBLFS
41. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !41 ։ൃ ରࡦޙ 4%,Λར༻ͯ͠։ൃػ͔Β4BHF.BLFSʹ௚઀ֶशδϣϒΛ౤͛ΔΑ͏ʹͨ͠
    OPUFCPPLΠϯελϯε͕ෆཁͱͳͬͨ
    OPUFCPPLʹهड़͍࣮ͯͨ͠ݧ৚݅ͱֶशδϣϒ࣮ߦʹؔ͢ΔॲཧΛ෼ղͨ͠
    ࣮ݧ৚݅͸ZBNMʹ੾Γग़ͯ͠HJUͰ؅ཧɺֶशδϣϒ࣮ߦʹؔ͢Δॲཧ͸$-*ͱ࣮ͯ͠૷ͨ͠ ࣮ݧ৚݅ ֶशδϣϒ࣮ߦ ࣮ݧ৚݅ZNM ֶश࣮ߦ$-*
    4BHF.BLFS
    4%,Λϥοϓ training A training B training C training D confA.yml confB.yml confC.yml confD.yml OPUFCPPLΛ࢖Θͣʹ։ൃػ͔ΒֶशδϣϒΛ࣮ߦ͢Δ FYBNQMFJQZOC ZBNMΛىಈҾ਺ͱ͢Δ
    ίϚϯυͰֶशδϣϒΛ࣮ߦ
42. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !42 ։ൃ ֶश ෳ਺ͷαʔόͰฒߦͯ͠։ൃ ͯͦ͠ΕͧΕ࣮ߦ ಋೖલ ਪ࿦ ରࡦޙ ಋೖ
    
    ௚ޙ ։ൃޮ཰௿ԼͱJQZOC
    
    
    
    
    ϑΝΠϧͷ؅ཧίετ૿ ʁ ʁ ࣮ݧ৚݅ͱ࣮ߦΛ෼཭
    ։ൃػ͔Β௚઀δϣϒ࣮ߦ ʁ ʁ &'4΍&$಺ͷετϨʔδʹ εφοϓγϣοτΛอଘ &'4ʹอଘ͞ΕֶͨशࡁΈ
    ϞσϧΛςετ༻&$Ͱ
    
    
    
    ϩʔυ࣮ͯ͠ߦ ར༻ଅਐͷҝͷऔΓ૊Έ
43. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !43 ։ൃ ֶश ෳ਺ͷαʔόͰฒߦͯ͠։ൃ ͯͦ͠ΕͧΕ࣮ߦ ಋೖલ ਪ࿦ ରࡦޙ ಋೖ
    
    ௚ޙ JQZOCϑΝΠϧͷ؅ཧίετ ૿ͱ։ൃޮ཰௿Լ ʁ ʁ ࣮ݧ৚݅ͱ࣮ߦΛ෼཭
    ։ൃػ͔Β௚઀δϣϒ࣮ߦ ʁ ʁ &'4΍&$಺ͷετϨʔδʹ εφοϓγϣοτΛอଘ &'4ʹอଘ͞ΕֶͨशࡁΈ
    ϞσϧΛςετ༻&$Ͱ
    
    
    
    ϩʔυ࣮ͯ͠ߦ ར༻ଅਐͷҝͷऔΓ૊Έ
44. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !44 ಋೖલ ֶश ֶशͷϩά͸ϑΝΠϧ΍ඪ४ग़ྗʹɺεφοϓ γϣοτ͸&'4ʹग़ྗ͍ͯͨ͠
    ϩά΋εφοϓγϣοτ΋ϦΞϧλΠϜʹऔಘͰ͖͍ͯͨ MPH TOBQTIPU &$؀ڥͰͷεφοϓγϣοτऔಘ͸؆୯
45. ˜
    ;0;0
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    *OD !45 ಋೖ௚ޙ ֶश 4BHF.BLFSʹ͓͚Δֶशͷϩά͸ $MPVE8BUDIʹసૹ͞ΕΔ
    ϩά͸ϦΞϧλΠϜʹऔಘՄೳ
    ҰํͰϑΝΠϧసૹ͸ऴྃ࣌఺ͷճͷΈ
    ֶशࡁΈϞσϧ΍εφοϓγϣοτΛಘΔͨΊʹֶशऴྃ Λ଴ͭඞཁ͕͋Δ n days ֶश్தʹεφοϓγϣοτ͕औಘ Ͱ͖ͳ͍ͷ͸க໋త MPH TOBQTIPU NPEFM 4BHF.BLFS͸ఆظతͳϑΝΠϧసૹΛߦΘͳ͍
46. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !46 n days ֶश ରࡦޙ ֶशͷܦաΛఆظతʹϙετ͢ΔػೳΛ ਂ૚ֶशϑϨʔϜϫʔΫʹ࣮૷ͨ͠
    ϩά͸4MBDLʹɺεφοϓγϣοτ͸4ʹసૹ MPH TOBQTIPU ϑΝΠϧసૹ͸ֶश༻ίʔυʹ࣮૷͢Δඞཁ͕͋Δ FYUFOTJPOQZ
47. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !47 TOBQTIPU
    TOBQTIPU@PCKFDU -PH3FQPSU
    1MPU3FQPSU ֶश ରࡦޙ ϑΝΠϧసૹͱϩάసૹͷ࢓૊Έ ࠷৽ͷεφοϓγϣοτ͸#PUPΛར༻ͯ͠4ʹసૹ͢Δ
    ֶशͷϩά͸*ODPNJOH
    8FC)PPLΛར༻ͯ͠4MBDLʹϙετ͢Δ $IBJOFSͷग़ྗΛ֎෦πʔϧʹ࿈ܞ
48. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !48 ֶश ରࡦޙ δϣϒ໊ CVDLFU໊ εφοϓγϣοτ͸ֶशδϣϒຖʹܾ·ͬͨ৔ॴʹอଘ͞ΕΔ εφοϓγϣοτͷ4సૹͷྫ
49. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !49 ֶश ରࡦޙ ֶशͷܦաΛडಈతʹ೺ѲͰ͖Δ ϩάͷ4MBDL࿈ܞͷྫ
50. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !50 ։ൃ ֶश ෳ਺ͷαʔόͰฒߦͯ͠։ൃ ͯͦ͠ΕͧΕ࣮ߦ ಋೖલ &'4΍&$಺ͷετϨʔδʹ εφοϓγϣοτΛอଘ ਪ࿦ &'4ʹอଘ͞ΕֶͨशࡁΈ
    ϞσϧΛςετ༻&$Ͱ
    
    
    
    ϩʔυ࣮ͯ͠ߦ ରࡦޙ ಋೖ
    
    ௚ޙ ֶश్தʹεφοϓγϣοτ ΛಘΔ͜ͱ͕Ͱ͖ͳ͍ ʁ ࣮ݧ৚݅ͱ࣮ߦΛ෼཭
    ։ൃػ͔Β௚઀δϣϒ࣮ߦ %-ϑϨʔϜϫʔΫͷ֦ுػ ೳΛ࢖͍ఆظతʹεφοϓ γϣοτΛ4ʹసૹ ʁ JQZOCϑΝΠϧͷ؅ཧίετ ૿ͱ։ൃޮ཰௿Լ ར༻ଅਐͷҝͷऔΓ૊Έ
51. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !51 ։ൃ ֶश ෳ਺ͷαʔόͰฒߦͯ͠։ൃ ͯͦ͠ΕͧΕ࣮ߦ ಋೖલ &'4΍&$಺ͷετϨʔδʹ εφοϓγϣοτΛอଘ ਪ࿦ ରࡦޙ ಋೖ
    
    ௚ޙ ֶश్தʹεφοϓγϣοτ ΛಘΔ͜ͱ͕Ͱ͖ͳ͍ ʁ ࣮ݧ৚݅ͱ࣮ߦΛ෼཭
    ։ൃػ͔Β௚઀δϣϒ࣮ߦ %-ϑϨʔϜϫʔΫͷ֦ுػ ೳΛ࢖͍ఆظతʹεφοϓ γϣοτΛ4ʹసૹ ʁ &'4ʹอଘ͞ΕֶͨशࡁΈ
    ϞσϧΛςετ༻&$Ͱ
    
    
    
    ϩʔυ࣮ͯ͠ߦ JQZOCϑΝΠϧͷ؅ཧίετ ૿ͱ։ൃޮ཰௿Լ ར༻ଅਐͷҝͷऔΓ૊Έ
52. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !52 ಋೖલ ਪ࿦ &'4ʹग़ྗ͞ΕֶͨशࡁΈϞσϧ Λϩʔυͯ͠ςετΛ࣮ߦ
    ϑΝΠϧͷҠಈͳ͠ͰςετΛ࣮ߦͰ͖ͯ ͍ͨҝɺͦ͜·Ͱ໘౗ʹײ͍ͯ͡ͳ͔ͬͨ model C model A model B test A test B test C model B training B model A training A model C training C test scripts test data &$؀ڥͰͷϞσϧͷςετ͸&'4͕த৺ ֶश༻Πϯελϯε ςετ༻Πϯελϯε
53. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !53 4ʹग़ྗ͞ΕֶͨशࡁΈϞσϧΛ
    ςετ༻&$ʹίϐʔͯ͠ςετΛ ࣮ߦ
    .-Πϯελϯεʹ&'4͕Ϛ΢ϯτͰ͖ͳ͍ ͨΊɺֶशࡁΈϞσϧͷ഑෍͕4ܦ༝ͱͳ Γɺίϐʔͷख͕ؒ૿͑ͨ model C model A model B teat A test B test C model A training A model B training B model C training C test scripts test data खಈͰίϐʔ 4த৺ͷϞσϧ഑෍͸खಈͷ࡞ۀ͕ൃੜͨ͠ ಋೖ௚ޙ ਪ࿦ ςετ༻Πϯελϯε
54. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD όονม׵δϣϒΛར༻ͯ͠ςετΛ࣮ߦ͢ΔΑ͏ʹͨ͠ !54 ରࡦޙ ਪ࿦ ֶश݁ՌΛͦͷ··Ϟσϧʹొ࿥
    ֶश݁Ռͷ4ϩέʔγϣϯΛࢦఆͯ͠Ϟσ ϧΛ࡞੒͢Δ
    ొ࿥ͨ͠ϞσϧΛࢀরͯ͠όον ม׵δϣϒΛఆٛ
    Ϟσϧͱ4ʹ഑ஔ͞ΕͨσʔλΛར༻ͯ͠ ςετΛ࣮ߦՄೳ model C model A model B test A test B test C training A training A training A registered model C registered model A registered model B test data test data test data
55. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD όονม׵ػೳΛར༻ͯ͠ςετΛ࣮ߦ͢ΔΑ͏ʹͨ͠ !55 model C model A model B test A test B test C training A training A training A registered model C registered model A registered model B test data test data test data ରࡦޙ ਪ࿦ ֶश݁ՌΛͦͷ··Ϟσϧʹొ࿥
    ֶश݁Ռͷ4ϩέʔγϣϯΛࢦఆͯ͠Ϟσ ϧΛ࡞੒͢Δ
    ొ࿥ͨ͠ϞσϧΛࢀরͯ͠όον ม׵δϣϒΛఆٛ
    Ϟσϧͱ4ʹ഑ஔ͞ΕͨσʔλΛར༻ͯ͠ ςετΛ࣮ߦՄೳ Ϟσϧͷ࡞੒
56. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD όονม׵ػೳΛར༻ͯ͠ςετΛ࣮ߦ͢ΔΑ͏ʹͨ͠ !56 model C model A model B test A test B test C training A training A training A registered model C registered model A registered model B test data test data test data ରࡦޙ ਪ࿦ ֶश݁ՌΛͦͷ··Ϟσϧʹొ࿥
    ֶश݁Ռͷ4ϩέʔγϣϯΛࢦఆͯ͠Ϟσ ϧΛ࡞੒͢Δ
    ొ࿥ͨ͠ϞσϧΛࢀরͯ͠όον ม׵δϣϒΛఆٛ
    Ϟσϧͱ4ʹ഑ஔ͞ΕͨσʔλΛར༻ͯ͠ ςετΛ࣮ߦՄೳ όονม׵δϣϒ
57. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD Ϟσϧ࡞੒͔Βόονม׵δϣϒ·ͰΛ$-*Ͱ࣮૷ !57 model C model A model B test A test B test C training A training A training A registered model C registered model A registered model B test data test data test data ରࡦޙ ਪ࿦ 4%,Λ༻͍ͯ։ൃػ͔Β ςετΛ࣮ߦ ςετ࣮ߦ$-*
58. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !58 ։ൃ ֶश ෳ਺ͷαʔόͰฒߦͯ͠։ൃ ͯͦ͠ΕͧΕ࣮ߦ ಋೖલ ਪ࿦ &'4ʹอଘ͞ΕֶͨशࡁΈ
    ϞσϧΛςετ༻&$Ͱ
    
    
    
    ϩʔυ࣮ͯ͠ߦ ରࡦޙ ಋೖ
    
    ௚ޙ ֶश్தʹεφοϓγϣοτ ΛಘΔ͜ͱ͕Ͱ͖ͳ͍ ֶशࡁΈϞσϧΛ4͔Β
    
    
    ςετ༻&$ʹμ΢ϯϩʔ υ͢Δ޻ఔ͕૿͑ͨ ࣮ݧ৚݅ͱ࣮ߦΛ෼཭
    ։ൃػ͔Β௚઀δϣϒ࣮ߦ %-ϑϨʔϜϫʔΫͷ֦ுػ ೳΛ࢖͍ఆظతʹεφοϓ γϣοτΛ4ʹసૹ όονม׵δϣϒػೳΛར༻ ͯ͠&$Λհͣ͞ςετ࣮ߦ &'4΍&$಺ͷετϨʔδʹ εφοϓγϣοτΛอଘ JQZOCϑΝΠϧͷ؅ཧίετ ૿ͱ։ൃޮ཰௿Լ ར༻ଅਐͷҝͷऔΓ૊Έ
59. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD !59 ։ൃ ֶश ෳ਺ͷαʔόͰฒߦͯ͠։ൃ ͯͦ͠ΕͧΕ࣮ߦ ಋೖલ &'4΍&$಺ͷετϨʔδʹ εφοϓγϣοτΛอଘ ਪ࿦ &'4ʹอଘ͞ΕֶͨशࡁΈ
    ϞσϧΛςετ༻&$Ͱ
    
    
    
    ϩʔυ࣮ͯ͠ߦ ରࡦޙ ಋೖ
    
    ௚ޙ JQZOCϑΝΠϧͷ؅ཧίετ ૿ͱ։ൃޮ཰௿Լ ֶश్தʹεφοϓγϣοτ ΛಘΔ͜ͱ͕Ͱ͖ͳ͍ ֶशࡁΈϞσϧΛ4͔Β
    
    
    ςετ༻&$ʹμ΢ϯϩʔυ ͢Δ޻ఔ͕૿͑ͨ ࣮ݧ৚݅ͱ࣮ߦΛ෼཭
    ։ൃػ͔Β௚઀δϣϒ࣮ߦ %-ϑϨʔϜϫʔΫͷ֦ுػ ೳΛ࢖͍ఆظతʹεφοϓ γϣοτΛ4ʹసૹ όονม׵δϣϒػೳΛར༻ ͯ͠&$Λհͣ͞ςετ࣮ߦ ར༻ଅਐͷҝͷऔΓ૊Έ
60. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD ։ൃػΛத৺ͱͯ͠࡞ۀΛγϯϓϧʹ͢Δ͜ͱʹ੒ޭͨ͠
    ։ൃ؀ڥ͸͜Ε·Ͱͷ؀ڥΛྲྀ༻͠ɺֶशਪ࿦͸$-*Ͱ࣮ߦ͠ɺεφοϓγϣοτͷอଘ΋ࣗಈԽͨ͠ ར༻ଅਐͷҝͷऔΓ૊Έޙ !60 ./train ./test train.py test.py conf.yml test.py conf.yml test data train data train.py conf.yml job job job w ։ൃ؀ڥ͸ ୆ʹू໿ ֶशδϣϒ όονม׵δϣϒ w ֶशͱςετ͸։ൃػ ͔Β4%,Ͱ࣮ߦ w ֶशաఔ͸֎෦ πʔϧʹग़ྗ w ιʔείʔυͱϞσϧ ͸δϣϒຖʹอଘ
61. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD ຊ೔ొ৔ͨ͠πʔϧ܈Λ·ͱΊͨϨϙδτϦ !61 IUUQTHJUIVCDPNUODIBJOFSTBHFNBLFSUPPMT ֶशδϣϒ΍ਪ࿦δϣϒΛ؆୯ʹ࣮ߦͰ͖ΔΑ͏ʹ͢Δπʔϧ
    ϩάͷ4MBDL࿈ܞ΍4΁ͷεφοϓγϣοτసૹΛ࣮ߦ͢Δ$IBJOFS
    &YUFOTJPO
    ʢͨͩ͠$IBJOFSݶఆʣ
62. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD ຊ೔ͷΞδΣϯμ ୈҰ෦
    ୈೋ෦
    ݚڀ঺հ
    ར༻ଅਐͷҝͷऔΓ૊Έ
    ɹ։ൃ
    ɹֶश
    ɹਪ࿦
    ·ͱΊ !62
63. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD ·ͱΊ w ;0;0
    3FTFBSDIͰ͸ɺ;0;0άϧʔϓ͕࣋ͭେྔͷσʔλΛݩʹͯ͠
 ʮϑΝογϣϯΛ਺஋Խ͢Δʯݚڀ׆ಈΛߦ͍ͬͯΔ
    w ݚڀͷܭࢉج൫ͱͯ͠4BHF.BLFSΛ࠾༻͍ͯ͠Δ
    w 4BHF.BLFS͸.-ϓϥοτϑΥʔϜͰ͋Γɺ.-։ൃۀ຿ͷϑϨʔϜϫʔΫͰ΋͋Δ
    w ಋೖʹ͸՝୊΋͕͋ͬͨɺ਺ʑͷ޻෉ʹΑͬͯεέʔϧ͢Δֶश؀ڥΛಘΔ͜ͱ͕Ͱ͖ͨ !63
64. ˜
    ;0;0
    5FDIOPMPHJFT
    *OD ࠾༻৘ใ w.-ΤϯδχΞ
    wػցֶशΞϧΰϦζϜͷ࣮૷ͱ1P$։ൃ IUUQTUFDI[P[PDPNSFDSVJU w43&
    Πϯϑϥͷઃܭɾ։ൃɾӡ༻ΛओମʹαʔϏεͷ৴པੑ޲্
    w "OESPJE
    J04
    EFTJHOFS
    BOE
    NPSF ϑΝογϣϯΛٕज़ͷྗͰม͍͑ͯ͘஥ؒΛ୳͍ͯ͠·͢ɻ !64