成長を止めない機械学習のやり方 / Don't stop 'til you get enough (data).

7dc8611c26c3ca62c551109c65d04270?s=47 Yuichiro Someya
March 23, 2018
Programming
15
4.4k

成長を止めない機械学習のやり方 / Don't stop 'til you get enough (data).

https://manabiya.tech

7dc8611c26c3ca62c551109c65d04270?s=128

Yuichiro Someya

March 23, 2018
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Transcript

  1. ੒௕ΛࢭΊͳ͍
 ػցֶशͷ΍Γํ ΫοΫύουגࣜձࣾɹછ୩༔Ұ࿠ ."/"#*:"

  2. ࣗݾ঺հ  છ୩༔Ұ࿠<:VJDIJSP4PNFZB>  ౦ژ޻ۀେֶେֶӃܭࢉ޻ֶम࢜  ΫοΫύουגࣜձࣾݚڀ։ൃ෦
 ϦαʔνΤϯδχΞ೥݄d  ػցֶशج൫

    Ϩγϐσʔλͷ෼ੳ౳ UXJUUFSDPN!BZFNPT@Z HJUIVCDPNBZFNPT IUUQTXXXBZFNPTNF
  3. None

  4. Ϩγϐ਺ɿສ඼Ҏ্ ࠃ಺ͷ݄ؒར༻ऀ਺ɿ໿ສਓ

  5. ରԠݴޠɿݴޠϲࠃ ւ֎ͷ݄ؒར༻ऀ਺ɿສਓҎ্

  6. ΫοΫύουݚڀ։ൃ෦  ೥݄ʹൃ଍ ࢲ͕഑ଐ͞Εͨͷ΋ಉ࣌ظ   ౰࣌͸໊ͷϝϯόʔ  ೥݄ݱࡏ͸ࠃ಺ʹ໊ ւ֎ʹ໊

  7. ྉཧ͖Ζ͘ ৞ΈࠐΈχϡʔϥϧωοτϫʔΫ ʹΑΔྉཧը૾ͷࣗಈೝࣝ εϚʔτϑΥϯͷࣸਅͷ಺ɺ ྉཧࣸਅΛࣗಈతʹऩूه࿥

  8. ྉཧ͖Ζ͘ ສਓҎ্ͷϢʔβʔ͕ར༻ ສຕҎ্ͷྉཧࣸਅΛه࿥ ೥݄೔ݱࡏ

  9. ͦͷଞػցֶशϓϩδΣΫτ  ը૾෼ੳʹΑΔϨγϐͷ෼ྨ  ࡐྉ໊ͷਖ਼نԽ <͓͠ΐ͏Ώ ে༉ γϣʔϢ><͠ΐ͏Ώ>  

    ϑΟʔυόοΫͷࣗಈλά෇͚
 FUD

  10. લஔ͖

  11. l લུ ʮ࣭໰ʯ·Ͱ͸͍͔ͳ͍͕ؾʹͳ͍ͬͯΔ͜ͱɺ
 ʮճ౴ʯΛ஌Γ͍͕ͨͳ͔ͳ͔஌Δػձ͕ͳ͔ͬͨ͜ͱɻ
 
 ͦ͏͍ͬͨٙ໰Λ೔ຊத͔ΒूΊɺ
 ΧϯϑΝϨϯεΛ௨ͯ͡ղܾࡦΛݟग़͠ɺ஌ܙΛੜΈग़͢ɻ
 ͜Ε͕ɺ."/"#*:"Λ։࠵͢Δ૝͍Ͱ͢ɻz IUUQTNBOBCJZBUFDI

  12. l લུ ʮ࣭໰ʯ·Ͱ͸͍͔ͳ͍͕ؾʹͳ͍ͬͯΔ͜ͱɺ
 ʮճ౴ʯΛ஌Γ͍͕ͨͳ͔ͳ͔஌Δػձ͕ͳ͔ͬͨ͜ͱɻ
 
 ͦ͏͍ͬͨٙ໰Λ೔ຊத͔ΒूΊɺ
 ΧϯϑΝϨϯεΛ௨ͯ͡ղܾࡦΛݟग़͠ɺ஌ܙΛੜΈग़͢ɻ
 ͜Ε͕ɺ."/"#*:"Λ։࠵͢Δ૝͍Ͱ͢ɻz IUUQTNBOBCJZBUFDI ՝୊ͷڞ༗

    ղܾࡦͷྻڍͱ෼ੳ

  13. lຊηογϣϯͰ͸·ͣػցֶशΛऔΓೖΕͨ૊৫ʹ͓͚Δ
 Ձ஋૑଄Λ્֐͋Δ͍͸ಷԽͤ͞Δز͔ͭͷཁҼΛࢦఠ͠ɺ
 ͦΕΒͷཁҼʹ͍ͭͯ։ൃج൫΍ΤϯδχΞϦϯάɺ
 νʔϜߏ੒౳༷ʑͳ֯౓͔Βߟ࡯͠·͢ɻ·ͨ͞Βʹɺ
 ͦͷΑ͏ͳ՝୊ʹର͢ΔΫοΫύουͷऔΓ૊ΈΛ঺հ͠·͢ɻz

  14. lຊηογϣϯͰ͸·ͣػցֶशΛऔΓೖΕͨ૊৫ʹ͓͚Δ
 Ձ஋૑଄Λ્֐͋Δ͍͸ಷԽͤ͞Δز͔ͭͷཁҼΛࢦఠ͠ɺ
 ͦΕΒͷཁҼʹ͍ͭͯ։ൃج൫΍ΤϯδχΞϦϯάɺ
 νʔϜߏ੒౳༷ʑͳ֯౓͔Βߟ࡯͠·͢ɻ·ͨ͞Βʹɺ
 ͦͷΑ͏ͳ՝୊ʹର͢ΔΫοΫύουͷऔΓ૊ΈΛ঺հ͠·͢ɻz ՝୊ͷڞ༗ ղܾࡦͷྻڍͱ෼ੳ

  15.  ʰ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํʱ  ػցֶशʹऔΓ૊Ήݱ৔ʹ͓͚Δ՝୊Λࢦఠ͠ɺ෼ੳ͠·͢ɻ

  16. ΞδΣϯμ  ͸͡Ίʹਓ޻஌ೳϒʔϜͱݬ໓ظ  ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํʙ૊৫ɾνʔϜฤʙ  αʔϏε։ൃͱػցֶश  ػցֶशϓϩδΣΫτ 

    ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํʙݸਓฤʙ  ૯߹֨ಆٕͱͯ͠ͷػցֶश

  17. ਓ޻஌ೳϒʔϜͱݬ໓ظ

  18. ਓ޻஌ೳϒʔϜ  ʰୈ࣍ਓ޻஌ೳϒʔϜʱ  ը૾෼ྨ෼໺ʹ͓͚Δਂ૚ֶशͷ੒ՌΛ͖͔͚ͬͱ͢Δ  ਓ޻஌ೳ࣮ݱͷखஈͷ̍ͭͱͯ͠ػցֶश΁ͷ౤ࢿʗظ଴΋ߴ·Δ  ϋʔυ΢ΣΞʗιϑτ΢ΣΞʹ͔͔ΘΒͣ͋ΒΏΔྖҬʹԠ༻͞ΕΑ ͏ͱ͍ͯ͠Δ

     ΫοΫύουͷ༷ͳαʔϏε։ൃͷݱ৔΋ྫ֎Ͱ͸ͳ͍

  19. IUUQXXXHBSUOFSDPKQQSFTTIUNMQSIUNM

  20. ϒʔϜ͔Βݬ໓ظ΁  "*ʹ͸ظ଴͕ա౓ʹൃ೤ͨ͠ͷͪʰౙʱ͕๚ΕΔͱ͍͏ྺ࢙͕͋Δ  ݬ໓ظΛ৐Γӽ͍ͯͨ͘Ίʹݱ৔ͷզʑ͕͢΂͖͜ͱ  ʰ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํʱ  ࠓճ͸ɺαʔϏε։ൃݱ৔ͱͯ͠ͷΫοΫύουͱ͍͏؀ڥͰಘΒΕ ͨ஌ݟΛத৺ʹɺ͜ͷ՝୊ʹ͍ͭͯߟ͍͖͑ͯ·͢

  21. ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํ ૊৫ɾνʔϜฤ

  22. ΞδΣϯμ  ͸͡Ίʹਓ޻஌ೳϒʔϜͱݬ໓ظ  ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํʙ૊৫ɾνʔϜฤʙ  αʔϏε։ൃͱػցֶश  ػցֶशϓϩδΣΫτ 

    ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํʙݸਓฤʙ  ૯߹֨ಆٕͱͯ͠ͷػցֶश  ͸͡Ίʹਓ޻஌ೳϒʔϜͱݬ໓ظ  ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํʙ૊৫ɾνʔϜฤʙ  αʔϏε։ൃͱػցֶश  ػցֶशϓϩδΣΫτ  ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํʙݸਓฤʙ  ૯߹֨ಆٕͱͯ͠ͷػցֶश

  23. αʔϏε։ൃͱػցֶश  αʔϏε։ൃͰػցֶशΛ࢖͍͍ͨͱ͍͏χʔζ͕૿͍͑ͯΔ  ਓ޻஌ೳϒʔϜʹґΔͱ͜Ζ͕େ͖͍ ଟ෼   ʰػցֶशΛ࢖͏ʱͱ͸ʁ

  24. ՝୊ൃݟ
 ΰʔϧઃఆ σʔλऩू σʔλՃ޻
 ෼ੳ &%" ֶश ධՁݕূ ຊ൪ ධՁݕূ

  25. ࢖͏ ࡞Δ ՝୊ൃݟ
 ΰʔϧઃఆ σʔλऩू σʔλՃ޻
 ෼ੳ &%" ֶश ධՁݕূ

    ຊ൪ ධՁݕূ σ ϓ ϩ Π

  26. ྫϞσϧͷ"1*Խʹඞཁͳ΋ͷ ֶशࡁΈϞσϧ ͷEVNQ  NPEFM\QC I ^ "1* BQQQZ 


    )551 T &OEQPJOU QSFEJDU JOGPͱ͔ 
 ϞσϧͷಡΈࠐΈͱ*0ϋϯυϥ ࡞ۀ طଘγεςϜʗΠϯϑϥ΁ͷΠϯςάϨʔγϣϯ
 -#ɺϞχλϦϯάɺ%/4౳ʑ ࣮ߦ؀ڥ %PDLFSpMF

  27. ྫϞσϧͷ"1*Խʹඞཁͳ΋ͷ ֶशࡁΈϞσϧ ͷEVNQ  NPEFM\QC I ^ "1* BQQQZ 


    )551 T &OEQPJOU QSFEJDU JOGPͱ͔ 
 ϞσϧͷಡΈࠐΈͱ*0ϋϯυϥ ࡞ۀ طଘγεςϜʗΠϯϑϥ΁ͷΠϯςάϨʔγϣϯ
 -#ɺϞχλϦϯάɺ%/4౳ʑ ࣮ߦ؀ڥ %PDLFSpMF ػցֶशϞσϧͷσϓϩΠʹ͸
 खؒͱ͕͔͔࣌ؒΔ

  28. def is_food_image(self, image_io): image = Image.open(image_io) result = self.classifier.infer(image) return

    result == Category.food ར༻ྫྉཧ͖Ζ͘ͷ৔߹ ύοέʔδԽ͞ΕͨػցֶशϞσϧͷݺͼग़͠
 ͋Δ͍͸҉໧ͳ"1*ίʔϧ

  29. def is_food_image(self, image_io): image = Image.open(image_io) result = self.classifier.infer(image) return

    result == Category.food ྫྉཧ͖Ζ͘ͷ৔߹ ύοέʔδԽ͞ΕͨػցֶशϞσϧͷݺͼग़͠
 ͋Δ͍͸҉໧ͳ"1*ίʔϧ έʔεʹΑΔ͕ αʔϏε։ൃͱ͍͏จ຺ʹ͓͍ͯ
 ػցֶशϞσϧ͸ίʔυͰ࣮૷͞ΕͨϩδοΫ
 ͱಉ౳ʹѻΘΕ͏Δ

  30. ࢖͏ ࡞Δ Ϩγϐ෼ྨثͷΧςΰϦʹ
 ʰຑം౾෗ʱΛ଍ͯ͠Έ͍ͨ िؒ͘Β͍͔͔Δͳ Ϛδ͔ʂ if category == 'ΧϨʔ':

    foo() + elif category == 'ຑം౾෗': + bar() ՝୊ൃݟ
 ΰʔϧઃఆ σʔλऩू σʔλՃ޻
 ෼ੳ &%" ֶश ධՁݕূ ຊ൪ ධՁݕূ

  31. αʔϏε։ൃͱϞσϧͷ։ൃʗσϓϩΠ ͷεϐʔυײʹΪϟοϓ͕͋Δ

  32. Ͳ͏͢Ε͹ʁ  ਓࡐ഑ஔͷ࠷దԽ

  33. ࢖͏ ࡞Δ Ϩγϐ෼ྨثͷΧςΰϦʹ
 ʰຑം౾෗ʱΛ଍ͯ͠Έ͍ͨ िؒ͘Β͍͔͔Δͳ Ϛδ͔ʂ if category == 'ΧϨʔ':

    foo() + elif category == 'ຑം౾෗': + bar() ՝୊ൃݟ
 ΰʔϧઃఆ σʔλऩू σʔλՃ޻
 ෼ੳ &%" ֶश ධՁݕূ ຊ൪ ධՁݕূ

  34. ࢖͏ ࡞Δ Ϩγϐ෼ྨثͷΧςΰϦʹ
 ʰຑം౾෗ʱΛ଍ͯ͠Έ͍ͨ िؒ͘Β͍͔͔Δͳ Ϛδ͔ʂ if category == 'ΧϨʔ':

    foo() + elif category == 'ຑം౾෗': + bar() ՝୊ൃݟ
 ΰʔϧઃఆ σʔλऩू σʔλՃ޻
 ෼ੳ &%" ֶश ධՁݕূ ຊ൪ ධՁݕূ

  35. ਓࡐ഑ஔͷ࠷దԽ  αʔϏε։ൃʹػցֶशΛԠ༻͢Δ͜ͱʹෆ׳Εͳݱ৔ͷ৔߹   αʔϏε։ൃʹٻΊΒΕΔ։ൃεϐʔυͱ
 ػցֶशϞσϧͷ։ൃͱσϓϩΠʹ͔͔Δ࣌ؒ  ྆ऀʹΪϟοϓ͕͋Δɺͱ͍͏໰୊Λڞ༗ͯ͠าΈدΔ 

    ྫ͑͹ਓతϦιʔεͷ഑ஔΛݟ௚ͯ͠ΈΔ  ྫɿαʔϏε։ൃଆͷΤϯδχΞ͕ϞσϧͷσϓϩΠΛख఻͏

  36. Ͳ͏͢Ε͹ʁ  ਓࡐ഑ஔͷ࠷దԽ  औΓ૊Ή໰୊ͷݟ௚͠  Ϟσϧ։ൃʗσϓϩΠͷޮ཰Խ

  37. Ͳ͏͢Ε͹ʁ  ਓࡐ഑ஔͷ࠷దԽ  औΓ૊Ή໰୊ͷݟ௚͠  Ϟσϧ։ൃʗσϓϩΠͷޮ཰Խ ։ൃεϐʔυͷҧ͍΍ػցֶशಛ༗ͷίετΛՃຯ্ͨ͠Ͱɺ ػցֶशΛར༻ͯ͠औΓ૊Ή΂͖ͳͷ͔ߟ͑ͳ͓͢ IUUQTSFTFBSDIHPPHMFDPNQVCTQVCIUNM

    ʰػցֶश͸ٕज़తෛ࠴ͷߴརି͠ ҙ༁ ʱ

  38. Ͳ͏͢Ε͹ʁ  ਓࡐ഑ஔͷ࠷దԽ  औΓ૊Ή໰୊ͷݟ௚͠  Ϟσϧ։ൃʗσϓϩΠͷޮ཰Խ

  39. Ϟσϧ։ൃʗσϓϩΠͷޮ཰Խ  ։ൃσʔλͷ෼ੳɺ࣮ݧɺϞσϧͷֶश  σϓϩΠύοέʔδԽɺ"1*Խ

  40. Ϟσϧ։ൃʗσϓϩΠͷޮ཰Խ  ։ൃσʔλͷ෼ੳɺ࣮ݧɺϞσϧͷֶश  σϓϩΠύοέʔδԽɺ"1*Խ

  41. ػցֶशج൫  ػցֶशʹؔΘΔ࣮ݧ΍։ൃͷεϐʔυΛ্͛Δҝͷج൫  ΫοΫύουݚڀ։ൃ෦͸෦ࣗ਎Ͱੵۃతʹվળ͍ͯ͠Δ IUUQTTQFBLFSEFDLDPNBZFNPTNBDIJOF MFBSOJOHQMBUGPSNBUDPPLQBE IUUQTTQFBLFSEFDLDPNBZFNPTBDDFMFSBUF NBDIJOFMFBSOJOHXJUIBXT

  42. ΦϯσϚϯυ(16࣮ݧ؀ڥ

  43. ΦϯσϚϯυ(16࣮ݧ؀ڥ  ւ֎΋ؚΊ໊ͷϝϯόʔ͕͍Δ  ෳ਺ͷϓϩδΣΫτʹෳ਺ͷਓ͕औΓ૊Ή  ࣮ݧ༻ͷܭࢉػ؀ڥΛͲͷΑ͏ʹ༻ҙ͢Δ͔  $IBUCPUܦ༝ͰىಈఀࢭՄೳͳΦϯσϚϯυ(16࣮ݧ؀ڥ

  44. ʰ࣮ݧ༻Πϯελϯε࡞ͬͯʱ ઃఆࡁΈΠϯελϯεͷ
 εφοϓγϣοτ ".* ATTIBZFNPTXPSLCFODIEOTDPNQBOZA $SFBUF   

  45. ʰ࣮ݧ༻Πϯελϯε࡞ͬͯʱ ઃఆࡁΈΠϯελϯεͷ
 εφοϓγϣοτ ".* ATTIBZFNPTXPSLCFODIEOTDPNQBOZA $SFBUF    IUUQTTQFBLFSEFDLDPNBZFNPTNBDIJOF

    MFBSOJOHQMBUGPSNBUDPPLQBE ৄ͘͠͸

  46. ϓϩδΣΫτςϯϓϨʔτ ʹΑΔ࣮ݧ࠶ݱੑͷ޲্

  47. ྫͷϓϩδΣΫτͷ
 ௥࣮ݧ͕͍ͨ͠ OPUFCPPLͱεΫϦϓτ͸ϨϙδτϦʹɺ σʔλ͸ࠓ͸खݩʹ͔͠ͳ͍΍ʜ ΍͹͍

  48. ࣮ݧ࠶ݱੑͷ௿Լ  ͍͍ͭͭ࠶ݱੑͷͳ͍ঢ়ଶΛ࡞ͬͯ͠·͏  ϫʔΫϑϩʔ؅ཧͱ͔େֻ͔Γͳͷ͸ͪΐͬͱʜ

  49. $PPLJFDVUUFSʹΑΔςϯϓϨʔτԽ  ϓϩδΣΫτͷςϯϓϨʔτԽ  SVCZʹ͸CVOEMFS͕͋Δ͚Ͳʜ  IUUQTHJUIVCDPNBVESFZSDPPLJFDVUUFS  1ZUIPO +JOKB

    ੡ͷ൚༻ͳϓϩδΣΫτςϯϓϨʔτੜ੒πʔϧ  ಠࣗͷςϯϓϨʔτΛ૊Ή͜ͱ͕ग़དྷɺσʔλαΠΤϯε༻ͷ෺΋͋Δ  IUUQTHJUIVCDPNESJWFOEBUBDPPLJFDVUUFSEBUBTDJFODF

  50. ESJWFOEBUBDPPLJFDVUUFSEBUBTDJFODF  A.BLFpMFA֤छศརUBSHFUͱ͔ઃఆ஋ͱ͔  ASFRVJSFNFOUTUYUAґଘϥΠϒϥϦͷϦετ  ֤छط໿σΟϨΫτϦ  ATSDEBUBA ATSDNPEFMAͦΕͧΕσʔλͷੜ੒ʗલॲཧ༻ɺ

    Ϟσϧͷֶश༻εΫϦϓτΛஔ͘  AEBUBAHJUJHOPSF͞ΕΔɺ.BLFpMFͷUBSHFUͰ4ͱTZOD

  51. ྫͷϓϩδΣΫτͷ
 ௥࣮ݧ͕͍ͨ͠ HJUDPQBOZDPNSFTFBSDISFDJQFBOBMZTJT ͜͜ʙ HJUDMPOF NBLFTZOD@EBUB@GSPN@T

  52. EPDLFSTDJFODFDPPLJFDVUUFSEPDLFSTDJFODF  IUUQTHJUIVCDPNEPDLFSTDJFODFDPPLJFDVUUFSEPDLFS TDJFODF  EPDLFSΛར༻͠ɺϓϩδΣΫτͷ࣮ݱੑΛ͞ΒʹߴΊΔ  OPUFCPPLͷ্ཱͪ͛ 1PSUGPSXBSE౳ߦ͏UBSHFU΋

  53. Ϟσϧ։ൃʗσϓϩΠͷޮ཰Խ  ։ൃσʔλͷ෼ੳɺ࣮ݧɺϞσϧͷֶश  Ϋϥ΢υ؀ڥΛ׆͔ͨ͠ΦϯσϚϯυ(16࣮ݧ؀ڥͷ࣮ݱ  ϓϩδΣΫτͷςϯϓϨʔτԽʹΑΔ࣮ݧ࠶ݱੑͷ޲্  σϓϩΠύοέʔδԽɺ"1*Խ

  54. Ϟσϧ։ൃʗσϓϩΠͷޮ཰Խ  ։ൃσʔλͷ෼ੳɺ࣮ݧɺϞσϧͷֶश  Ϋϥ΢υ؀ڥΛ׆͔ͨ͠ΦϯσϚϯυ(16࣮ݧ؀ڥͷ࣮ݱ  ϓϩδΣΫτͷςϯϓϨʔτԽʹΑΔ࣮ݧ࠶ݱੑͷ޲্  σϓϩΠύοέʔδԽɺ"1*Խ

  55. ػցֶशϞσϧͷσϓϩΠ  ͱ͸  αʔόʔ΁ͷຒΊࠐΈʗύοέʔδʗ"1*

  56. ػցֶशϞσϧͷσϓϩΠ  ͱ͸  αʔόʔ΁ͷຒΊࠐΈʗύοέʔδʗ"1*  ϞσϧΛಡΈࠐΜͰɺ֎෦ϦΫΤετʹԠͯ͡ϞσϧΛ
 ݺͼग़͢ബ͘খ͞ͳ"1*Λ࣮૷͢Δ

  57. "1* .JDSPTFSWJDF ͕͍͍ཧ༝  ͦͷଞͷख๏ ྫ͑͹ΞϓϦαʔόʔ΁ͷ૊ΈࠐΈ ͱൺ΂ͯ
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  58. "1* .JDSPTFSWJDF ͕͍͍ཧ༝  ػցֶशͱΞϓϦͰҟͳΔ࣮ߦ؀ڥ͕ར༻Ͱ͖Δ  ҟͳΔݴޠɺ$16(16  "1*ͷεέʔϧʹΑͬͯߴεϧʔϓοτͷ࣮ݱ͸Մೳ 

    ػցֶशϞσϧʹΑΔਪ࿦͸ॏ͍  ෼ྨثɺ౳ͷϓϦϛςΟϒͳػೳͷ࠶ར༻  ։ൃʹ͓͚Δ୲౰ൣғͷڥքઢͱͯ͠࠷ద ͩͱࢥ͏

  59. ࠶ܝϞσϧͷ"1*Խʹඞཁͳ΋ͷ ֶशࡁΈϞσϧ ͷEVNQ  NPEFM\QC I ^ "1* BQQQZ 


    )551 T &OEQPJOU QSFEJDU JOGPͱ͔ 
 ϞσϧͷಡΈࠐΈͱ*0ϋϯυϥ ࡞ۀ طଘγεςϜʗΠϯϑϥ΁ͷΠϯςάϨʔγϣϯ
 -#ɺϞχλϦϯάɺ%/4౳ʑ ࣮ߦ؀ڥ %PDLFSpMF ػցֶशͱͷυϝΠϯڞ༗౓ େ খ

  60. ࠶ܝϞσϧͷ"1*Խʹඞཁͳ΋ͷ ֶशࡁΈϞσϧ ͷEVNQ  NPEFM\QC I ^ "1* BQQQZ 


    )551 T &OEQPJOU QSFEJDU JOGPͱ͔ 
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  61. ϚωʔδυͳσϓϩΠج൫ ͋Δ͍͸ࣗ࡞ͷͦΕ  Ϟσϧͷ"1*Խɺ࣮ߦ؀ڥͷ੔උͳͲ͸ڞ௨Խ͢Δ༨஍͕͋Δ  ڞ௨Խ͞Εͨج൫Λఏڙ͢ΔࣄͰɺσϓϩΠखॱΛ୹ॖग़དྷΔ  ৄ͘͠͸ IUUQTTQFBLFSEFDLDPNBZFNPTNBDIJOF MFBSOJOHQMBUGPSNBUDPPLQBE

  62. ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํ ݸਓฤ

  63. ૯߹֨ಆٕͱͯ͠ͷػցֶश  ʰػցֶश͕ग़དྷΔΑ͏ʹͳΔʱͱ͸

  64. None

  65. 1ZUIPO %PDLFS TDJLJUMFBSO 5FOTPS'MPX .F$BC 42- ,FSBT ϕΠζ౷ܭ χϡʔϥϧωοτ "84

    ($1 3 47. LBHHMF

  66. ૯߹֨ಆٕͱͯ͠ͷػցֶश  ʰػցֶश͕ग़དྷΔΑ͏ʹͳΔʱͱ͸  ϒʔϜ΋ख఻͍ɺ৘ใ͕൙ཞ͍ͯ͠Δ Α͏ʹݟ͑Δ   ʰ͋Ε΋͜Ε΋ֶͼͨա͗Δʱ 

    ݸਓʹͱͬͯɺ໨ඪʗ໨తͷ۩ମԽ͕ॏཁʹͳ͖͍ͬͯͯΔ  ྫ͑͹ ʰαʔϏε։ൃʹػցֶशΛར༻͢Δதن໛ dਓ ͷݱ৔Ͱɺཱࣗͯ͠Ձ஋ΛੜΈग़ͤΔΤϯδχΞʹͳΔʱͱ͔

  67. ૯߹֨ಆٕͱͯ͠ͷػցֶश  Ұํ͔֬ʹݱ৔Ͱ΍Δ΂͖͜ͱ͸ଟ͍  ͔͠΋ݱ৔ʹΑͬͯҟͳΔͷͰɺ ݄ฒΈ͕ͩ ຊͰֶ΂ͳ͍͜ͱ͕ଟ͍  ΍͸Γ࣮຿Ͱػցֶशʹ৮ΕΔͷ͕ۙಓ 

    σʔλ෼ੳίϯϖ΋ྑ͍  ʰݶΒΕͨظؒͷதͰσʔλΛ෼ੳ͠ɺείΞΛܧଓతʹվળ͢Δʱ
 ·͋·࣮͋຿ͬΆ͍

  68. ·ͱΊ  ʰ੒௕ΛࢭΊͳ͍ػցֶशͷ΍Γํʱ  αʔϏεͷ࣮ݱखஈͱͯ͠ͷػցֶशʹର͢Δظ଴͸ӈݞ্͕Γ  ݱ৔ͱͯ͠ظ଴ʹԠ͑ଓ͚͍͖͍ͯͨͰ͢Ͷɻ

  69. 8FSFIJSJOH IUUQTDPPLQBEKPCT