ペパコンナイト AI（機械学習）ワーキンググループ成果報告/pepacon_night_ai_wg

ʮͳΊΒ͔ͳηΩϡϦςΟʯͷ࣮ݱʹ޲͚ͯ
ࡾ୐༔հ / Pepabo R&D Institute, GMO Pepabo, Inc.
2019.05.13 ϖύίϯφΠτ
AIʢػցֶशʣϫʔΩϯάάϧʔϓ
੒Ռใࠂ

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ϓϦϯγύϧΤϯδχΞ
ࡾ୐༔հ!NPOPDISPNFHBOF
(.0ϖύϘגࣜձࣾϖύϘݚڀॴ
IUUQTCMPHNPOPDISPNFHBOFDPN

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1. AIʢػցֶशʣϫʔΩϯάϧʔϓͷ໾ׂ
2. ʮͳΊΒ͔ͳηΩϡϦςΟʯͱࢿݯεέδϡʔϦϯά
3. Kaburaya
4. ·ͱΊͱࠓޙ
3
໨࣍

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1.
AIʢػցֶशʣϫʔΩϯάϧʔϓͷ໾ׂ

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• ػցֶशٕज़
• ༧ଌతࢿݯεέδϡʔϦϯά
• ෆਖ਼ར༻ݕग़ɾར༻ऀߦಈ༧ଌ
• ࣗવݴޠॲཧɾը૾ղੳ
• ਪનγεςϜ΁ͷߴ౓Խ
5

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• ʮͳΊΒ͔ͳηΩϡϦςΟʯ = “ݸʑਓʹ߹ΘͤͨηΩϡϦςΟΛඞཁͳͱ͖
ʹඞཁ࠷খݶͷػೳͱͯ͠ఏڙ͢ΔͨΊ”
• ԣஅతɼہॴతͳ৘ใʢϩάʣΛ΋ͱʹ
• ൑அ΍ࡃ഑Λ͏·͘ߦ͏࢓૊ΈΛ
• AIʢػցֶशʣΛ͸͡Ίͱͨ͠ΞϓϩʔνʹΑͬͯղܾ͢Δ
6

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• ػցֶशٕज़
• ༧ଌతࢿݯεέδϡʔϦϯά
• ෆਖ਼ར༻ݕग़ɾར༻ऀߦಈ༧ଌ
• ࣗવݴޠॲཧɾը૾ղੳ
• ਪનγεςϜ΁ͷߴ౓Խ
7

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2.
ʮͳΊΒ͔ͳηΩϡϦςΟʯͱ
ࢿݯεέδϡʔϦϯά

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9
ͳΊΒ͔ͳηΩϡϦςΟ

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• Edge͕ಁաతʹৼΔ෣͏ͨΊʹ͸ύϑΥʔϚϯε͕ॏཁ
• ҰํͰɼݸਓԽʹΑͬͯEdge਺͕૿Ճ͢ΔͨΊɼࢿݯࡃ഑ͷ࠷దԽ͕ٻΊΒ
ΕΔɽ
• ಉ༷ʹɼݸਓԽʹ൐͍֤Edgeͷଟ༷ੑ͕૿ͨ͢ΊɼखಈͰͷνϡʔχϯά͸
ࠔ೉ͱͳΔɽ
10
Edgeʹ͓͚ΔࢿݯεέδϡʔϦϯάͷඞཁੑ

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11
Edgeʹ͓͚ΔࢿݯεέδϡʔϦϯάͷඞཁੑ
&EHF
ϚΠΫϩίϯϙωϯτ࣮ߦͷฒྻԽ ֤ϚΠΫϩίϯϙωϯτͷ࣮ߦج൫ͷΦʔτεέʔϦϯά
• ύϑΥʔϚϯε޲্ʹ͸ϚΠΫϩίϯϙωϯτ࣮ߦ
ͷฒྻԽɼ΋͘͠͸࣮ߦج൫ͷεέʔϦϯά͕༗ޮ
• ͜ΕΒΛෛՙ΍ࢿݯ੍໿Λߟྀͯ͠࠷దԽ͍ͨ͠
QSPDFTTͰෳ਺ϚΠΫϩίϯϙωϯτ͕
࣮ߦ͞ΕΔ৔߹ͳͲ
֤ϚΠΫϩίϯϙωϯτ͕ίϯςφͰఏڙ
͞ΕΔ৔߹ͳͲ
⁞ ⁞  

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3.
Kaburaya

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• ॲཧ΍ϥϯλΠϜͷಛੑʹґଘͤͣʹɼϚγϯͷෛՙʹԠͯ͡ 
൓Ԡత͔ͭܧଓతʹɼฒߦ਺Λ࠷దԽ͢Δ͜ͱ͸Մೳ͔ʁ
13
ຊݚڀͷʮ໰͍ʯ

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• ॲཧ΍ϥϯλΠϜͷಛੑʹґଘͤͣʹɼϚγϯͷෛՙʹԠͯ͡൓Ԡత͔ͭܧଓ
తʹɼฒߦ਺Λ࠷దԽ͢Δ
• 1. ॲཧ΍ϥϯλΠϜΛϒϥοΫϘοΫεͱͯ͠ѻ͍ɼܧଓతʹಈ࡞Λ੍ޚ͢
Δ࢓૊ΈͰ͋ΔϑΟʔυόοΫ੍ޚΛ༻͍ͯ࠷దͳฒߦ਺ΛٻΊΔ
• 2. ฒߦ਺ͷ੍ޚʹηϚϑΥΛ༻͍Δ
• Kaburaya is “ధ໼”. It is japanese arrow with a whistle.
14
Kaburaya ΞʔΩςΫνϟ

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• ໨ඪ஋ͱग़ྗͷϑΟʔυόοΫͷޡࠩΛ༻͍ͯγεςϜͷೖྗΛܾఆ͠ɼग़ྗ
Λ໨ඪ஋ʹ͚ۙͮΔ
• ภࠩΛॲཧ͢Δ੍ޚثɼͦͯ͠ೖྗͱग़ྗʹԿΛ༻͍Δ͔ͷઃܭ͕ॏཁ
15
ϑΟʔυόοΫ੍ޚ
੍ޚث γεςϜ
ೖྗ ग़ྗ
ภࠩ
ϑΟʔυόοΫ
໨ඪ஋

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• ໨ඪ஋ͱͷࠩΛޮ཰తʹղফ͢ΔͨΊͷݹయత੍ޚख๏
• ൺྫ੍ޚ(P)ɼੵ෼੍ޚ(I)ɼඍ෼੍ޚ(D)ͷ࿨Λೖྗ஋ͱ͢Δ
16
PID੍ޚ(1/2)
੍ޚث
ภࠩ
໨ඪ஋ 1 Kpe(t)
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
* Ki
Z t
0
e(r)dr
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
% Kd
de(t)
dt
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

r
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
e
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

γεςϜ

ϑΟʔυόοΫ
ೖྗ ग़ྗ

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• ൺྫ੍ޚ(P)͸ภࠩʹൺྫ͢Δɽภ͕ࠩେ͖͍৔߹ʹେ͖͘मਖ਼ɽ
• ੵ෼੍ޚ(I)͸ภࠩͷ૯࿨Λ༻͍ΔɽPͷ࢒ཹภࠩΛղফ͢Δɽ
• ඍ෼੍ޚ(D)͸ภࠩͷඍ෼Λ༻͍Δɽ֎ཚ౳ʹΑΔٸมಈʹػහʹରॲ͢Δɽ
17
PID੍ޚ(2/2)
੍ޚث
ภࠩ
໨ඪ஋ 1 Kpe(t)
* Ki
Z t
0
e(r)dr
% Kd
de(t)
dt

r
e

γεςϜ

ϑΟʔυόοΫ
ೖྗ ग़ྗ

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1. ॳظ஋͔ΒϫʔΧʔ਺Λม͑ͳ͍FixController (ൺֱ༻)
2. CPU࢖༻཰100%Λ໨ඪ஋ͱ͠ɼෆ଍ͨ͠৔߹͸ workerΛ1ͣͭ૿Ճͤ͞Δ SimpleController
3. CPU࢖༻཰100%Λ໨ඪͱ͠ɼ໨ඪͱͷࠩ෼ͷKഒΛՃ͑Δ PController(ൺྫ੍ޚ)
4. 3.ͷCPU࢖༻཰ͷ໨ඪ஋Λ90%ͱͨ͠΋ͷ
5. ௚ۙ3؍ଌ఺ͷฏۉΛ໨ඪ஋ͱͯ͠3؍ଌ͝ͱʹPControllerͷ໨ඪ஋ΛมԽͤ͞ΔDynamicController
6. ҰఆظؒͷCPU࢖༻཰ͷඪ४ภࠩΛͱͬͯͦΕ͕Ұఆͷ஋ҎԼͩͬͨΒ҆ఆͨ͠ͱΈͳͯ͠ɼworkerΛݮΒ͍ͯ͠
͘StabilityController
7. CPU࢖༻཰Ͱ͸ͳͯ͘CPU࢖༻཰ͷมԽ཰Λݩʹ੍ޚ͢ΔRateController
8. 5.ͷDynamicControllerΛݩʹఆظͰ͸ͳ͘େ͖ͳมಈ͝ͱʹ໨ඪ஋Λݟ௚͢ํࣜ
9. 8.ͷDynamicControllerΛݩʹఆৗ࣌ͷෆཁͳworkerΛ࡟ݮ͢Δํࣜ
10. 9.ͷDynamicControllerΛݩʹมಈͷਫ਼౓ͱ଎౓Λ޲্ͤ͞ΔͨΊʹੵ෼ඍ෼੍ޚΛಋೖ͢Δํࣜ
18
࠷దͳ੍ޚثΛٻΊͯ

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• ઃܭ੍ͨ͠ޚثΛฒߦԽ͞ΕͨλεΫΛܭ
ࢉࢿݯ্ݶ·Ͱฒྻॲཧ͢Δ؆қతͳγϛϡ
ϨʔλͰධՁ
19
؆қධՁ
• λεΫಛੑʹΑͬͯCPU্ݶ͸ҟͳΔ
• ࠷దͳฒߦ਺͸࣮ߦ࣌ͷΈ൑அͰ͖ΔͨΊ
CPU࢖༻཰͕ҰఆͱͳΔΑ͏ʹ૿ݮ͕ඞཁ
• CPU࢖༻཰ͷ૿ݮΛܖػʹ໨ඪ஋Λݟ௚͢
͜ͱ͕௥ै଎౓ͷ޲্ʹޮՌ͋Γ

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20
Kaburaya: DynamicTargetController
ภࠩ
໨ඪ஋
1
*
%

r
e

(PBQQ

ϑΟʔυόοΫ
4FNBQIPSF $166TBHF
มԽ཰
• ฒྻॲཧͷݶ౓ͱͳΔCPU࢖༻཰Λ࣮ߦ࣌ʹଊ͑ΔͨΊ໨ඪ஋ΛมԽ཰͔Βߋ
৽͢Δೋॏϧʔϓ੍ޚثΛ࣮૷ɽ
• ಺ଆͷϧʔϓ͸ฒߦ਺ΛೖྗɼCPU࢖༻཰Λग़ྗͱ͢ΔPID੍ޚث

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࣮૷ͱධՁ

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• ҰఆͷϝϞϦΛফඅ͢Δॲཧͷ࠷దͳฒߦ਺Λ੩తʹٻΊͨ৔߹ͱKaburaya
ʹΑͬͯಈత͔ͭܧଓతʹٻΊͨ৔߹Λൺֱ
• ฒߦ਺ͷ੍ޚ͸GoݴޠʹΑΔಈతηϚϑΥΛ࣮૷ͯ͠༻͍ͨ
• ϝϞϦ4GBɼSwap1.5GBͷ؀ڥͰධՁ
• 1ॲཧ͝ͱͷϝϞϦফඅ͸40kb, 400kb, 4,000kb, 40,000kbΛ༻͍ͨ
22
ධՁ

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• Kaburaya optimize the number of goroutines by feedback control.
23
monochromegane/kaburaya
func main() {
sem := kaburaya.NewSem(100 * time.Millisecond)
var wg sync.WaitGroup
for i := 0; i < 10; i++ {
wg.Add(1)
sem.Wait()
go func() {
defer sem.Signal()
defer wg.Done()
task()
}()
}
wg.Wait()
sem.Stop()
}
Create semaphore and
specify time span for
update the semaphore and
CPU target.
Wait for decrement operation.
Increment operation.
Stop update the semaphore and CPU target.

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24
ධՁ
• ԣ࣠͸ฒߦ਺ɼॎ࣠͸௚ྻ࣮ߦʹ
ର͢Δߴ଎Խ཰
• ֤఺͸KaburayaʹΑͬͯٻΊͨظ
ؒதͷฒߦ਺ͷதԝ஋
• λεΫಛੑʹΑͬͯ࠷దͳฒߦ਺
͕ҟͳΔ
• KaburayaʹΑͬͯಈతʹฒߦ਺͕
ٻ·Δ

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25
ධՁ
• ֤λεΫͷCPU࢖༻཰ͱ
KaburayaʹΑͬͯٻΊΒΕͨฒߦ
਺
• CPU࢖༻཰ΛҰఆʹอͭΑ͏ʹฒ
ߦ਺͕ௐ੔͞Ε͍ͯΔ
• ΑΓੵۃతͳCPU࢖༻཰ͷ૿Ճ΍
ϝϞϦ֬อ࣌ؒͳͲήΠϯௐ੔΍
ΑΓؤ݈ͳࢦඪͷબఆ͕՝୊
LC LC
LC LC

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Φʔτεέʔϧ΁ͷԠ༻

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• WebαʔϏεͷಛੑʹґଘͤͣʹɼΞΫηεͷෛՙʹԠͯ͡൓Ԡత͔ͭܧଓ
తʹɼΦʔτεέʔϦϯάج४Λ࠷దԽ͢Δ
• 1. ֎ܗతͳࢦඪʹΑͬͯWebαʔϏεͷಛੑΛϒϥοΫϘοΫεͱͯ͠ѻ
͍ɼܧଓతʹಈ࡞Λ੍ޚ͢Δ࢓૊ΈͰ͋ΔϑΟʔυόοΫ੍ޚΛ༻͍ͯ࠷ద
ͳΦʔτεέʔϦϯάج४ΛٻΊΔ
• 2. ա౓ͳεέʔϦϯάΛආ͚ΔͨΊࢦඪͷऩଋ఺Λಈతͳ໨ඪ஋ͱ͢Δ
• 3. ໨ඪʹै͍ΦʔτεέʔϦϯάΛૉૣ͘ߦ͏ʢ࣮૷ͷ࿩͸ຊใࠂͰ͸ର
৅֎ͱ͢Δʣ
27
Ebira: ΦʔτεέʔϦϯάػߏ

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• ֎ܗతͳࢦඪͱͯ͠ɼWebαʔϏε͔ΒಘΒΕΔ୯Ґ࣌ؒ͋ͨΓͷϨεϙϯ
ελΠϜͷฏۉΛ༻͍Δ
• ࢦඪʹର͢ΔࠩΛݕ஌͠ɼϑΟʔυόοΫ੍ޚʹΑΓΦʔτεέʔϦϯάʹඞ
ཁͳ୆਺Λࢉग़͢Δ
• ࢦඪ͸ܧଓతʹ؂ࢹ͞Εɼۉߧ఺ʹऩଋ͢ΔΑ͏ϑΟʔυόοΫ੍ޚͷ໨ඪ஋
Λมߋ͢Δ͜ͱͰɼա৒ͳΦʔτεέʔϦϯάΛճආ͢Δ
• ͜ΕΒͷࢦඪ͸؀ڥ͝ͱʹࣗಈ͔ͭܧଓͯ͠औಘ͞ΕΔͨΊɼӡ༻ऀ͸ࢦඪͷ
બఆͱج४஋ͷܾఆ͕ෆཁ
28
Ebira: ΦʔτεέʔϦϯάઓུ

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• ಉ࣌ΞΫηε਺ʹԠͯ͡ࢦ਺ؔ਺తʹϨεϙϯελΠϜ͕ѱԽ͢Δαʔό͔Β
ͳΔWebαʔϏεΛγϛϡϨʔγϣϯ
• 1. αʔό਺ʹରͯ͠ϦχΞʹεέʔϧ͢Δ؀ڥ
• 2. ϘτϧωοΫʹΑͬͯεέʔϧ͠ͳ͍؀ڥ
• ൚༻తͰج४஋ͷ֫ಘ͕ෆཁͳ൓ԠతΦʔτεέʔϦϯάઓུΛධՁ
• ฏৗ࣌ͷϨεϙϯελΠϜͷΈΛ༻͍ͨൺྫ੍ޚ
• ൓Ԡతʹ֫ಘ͢Δج४஋Λ༻͍ͨఏҊख๏ʹΑΔಈత໨ඪൺྫ੍ޚ
29
ධՁ

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• όοΫΤϯυ͸εέʔϧͤͣɼϑϩϯ
τͷΞΫηε਺Λશͯॲཧ͢Δ
30
ධՁ؀ڥ2: ϘτϧωοΫ-εέʔϦϯά
Clients
Controller
exp
(
c/
100) 1 +
r
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
exp
(
c/
300) 1 +
r
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ධՁ؀ڥ2: ϘτϧωοΫ-εέʔϦϯά
31
• ൺྫ੍ޚʹ͓͍ͯϘτϧωοΫΛݕ஌Ͱ͖ͣεέʔϧ͕ܧଓ
• ఏҊख๏ͷ໨ඪ஋Լ߱ͷૣظఀࢭ͸มԽ཰ͷ؂ࢹظؒΛԆ৳ͯ͠ରԠՄೳ

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4.
·ͱΊͱࠓޙ

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• ʮͳΊΒ͔ͳηΩϡϦςΟʯΛ࣮ݱ͢ΔͨΊͷAIʢػցֶशʣϫʔΩϯάά
ϧʔϓͷࢿݯεέδϡʔϦϯάʹؔ͢ΔऔΓ૊ΈΛ঺հ
• ଟ༷͔ͭେྔͳEdgeͷύϑΥʔϚϯεΛҡ࣋͢ΔͨΊʹࣗಈͰύϥϝλΛ
νϡʔχϯά͢Δख๏ΛKaburayaͱͯ͠ఏҊɼධՁ
• ࠓޙ͸ఆৗతͳ෦෼Λ༧ଌ͓ͯ͘͜͠ͱͰ൓Ԡతͳॲཧͷࠩ෼Λগͳ͘อͯΔ
Α͏ͳ࢓૊Έ΋ݕ౼
33
·ͱΊͱࠓޙ

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34
ܭըతΦʔτεέʔϦϯά
Ծ૝αʔό୆਺ͷਪҠ
೔͋ͨΓͷαʔό૯ىಈ࣌ؒ͸"܈ ը૾্

Ͱ͔࣌ؒΒ࣌ؒʹɺ#܈ ը૾Լ
Ͱ
͸ ͔࣌ؒΒ࣌ؒʹ࡟ݮ
˞"܈ͷ࣌͸ࢉग़୆਺͕୆਺Լݶ஋ΛԼ
ճͬͨͨΊɺ୆਺ͷมಈ͸ݟΒΕͳ͍
-45.Λ༻͍ͯඇఆৗͳมಈΛ
ߟྀͨ͠ΞΫηεස౓Λ༧ଌ͠ɼ
҆ఆՔಇՄೳͳεϧʔϓοτΛ
ୡ੒͢ΔԾ૝αʔό୆਺Λࢉग़

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• ࡾ୐ ༔հ, Kaburaya: CPUෛՙʹԠͯ͡ܧଓతʹ্ݶ஋Λ࠷దԽ͢ΔಈతηϚϑΥ, ୈࡾճ
WebγεςϜΞʔΩςΫνϟݚڀձ, 2018೥11݄.
• https://blog.monochromegane.com/blog/2018/11/25/wsa_3_kaburaya/
• ࡾ୐ ༔հ, Ebira: ΞΫηεෛՙʹԠͯ͡ܧଓతʹεέʔϦϯάج४Λ࠷దԽ͢Δ൚༻Φʔτε
έʔϦϯάػߏ, ୈ࢛ճ WebγεςϜΞʔΩςΫνϟݚڀձ, 2019೥2݄.
• https://blog.monochromegane.com/blog/2019/04/14/wsa_4_ebira/
• ࡾ୐ ༔հ, দຊ ྄հ, ྗ෢ ݈࣍, ܀ྛ ݈ଠ࿠, ΞΫηεස౓༧ଌʹجͮ͘Ծ૝αʔόͷܭըత
ΦʔτεέʔϦϯά, FIT 2018 ୈ17ճ৘ใՊֶٕज़ϑΥʔϥϜ, CL-002, Sep 2018.
• https://www.ipsj.or.jp/event/ﬁt/ﬁt2018/FIT2018_program_web/data/html/abstract/CL-002.html
35
ݚڀใࠂ

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ݚڀһɺੵۃతʹืूதʂ
http://rand.pepabo.com/

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ペパコンナイト AI（機械学習）ワーキンググループ成果報告/pepacon_night_ai_wg

ペパコンナイト AI（機械学習）ワーキンググループ成果報告/pepacon_night_ai_wg

monochromegane

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ペパコンナイト AI（機械学習）ワーキンググループ 成果報告/pepacon_night_ai_wg

ペパコンナイト AI（機械学習）ワーキンググループ 成果報告/pepacon_night_ai_wg

monochromegane

More Decks by monochromegane

Other Decks in Technology

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Transcript

ペパコンナイト AI（機械学習）ワーキンググループ成果報告/pepacon_night_ai_wg

ペパコンナイト AI（機械学習）ワーキンググループ成果報告/pepacon_night_ai_wg