1.
Amazon AI w d
a pdm vx h zn m e vg
Serverless Meet-up Osaka – 2017.1.27
Solutions Architect, Amazon Web Services Japan
Takayuki Shimizu @shimy_net

2.
•
– r r tL=I u
– ” ´
– LSP r m m r
– 9LI $ W S O S

3.
CNRCNICOO sx
• IS bS S x $ r r
• CO P O 9GA ?O`ScOe
– I. BW S W e O : D PW S 9 O e`WQ 9A
$&ikN

4.
w
• 9A t9 `WgQWO A `S WUS QSu

5.
VLKX w
r

6.
2GR UOPC
VLK O PPLK
VLK NG C GN
VLK
A L
VLK rw yw

7.
Amazon Go
• How does Amazon Go work?
– Our checkout-free shopping experience is made possible by the same types
of technologies used in self-driving cars: computer vision, sensor fusion,
and deep learning. Our Just Walk Out Technology automatically detects
when products are taken from or returned to the shelves and keeps track of
them in a virtual cart. When you’re done shopping, you can just leave the
store. Shortly after, we’ll charge your Amazon account and send you a
receipt.
9 Of )Q 5 5 9 Of ? >9H
`` 5**ccc)O Of )Q *P8WS6K >3 S6,1 3034 ,,
• m rm r
r m
ff

8.
w
•
– 9GA
• 9GAm 9GAm 9GA
– ” m ”
• r ”
• X w r
– r mDC m r
– r ” v wm
v wm r ”
v w z
• l W
– r
• oI O X m?GK r r
• r oDMES` O S OW S S > c II E=
• fi
– ” ”
• r m
A L
VLK
A GKC 3C NKGKE
,&
CHLEKGPGLK
$A OUS SQ U W`W
LIIU
$ Sd`(` ( SSQ $ bS O`W O A `S TOQS
3CT

9.
w
•
– 9GA
• 9GAm 9GAm 9GA
– ” m ”
• r ”
• X w r
– r mDC m r
– r ” v wm
v wm r ”
v w z
• l W
– r
• oI O X m?GK r r
• r oDMES` O S OW S S > c II E=
• fi
– ” ”
• r m
A L
VLK
A GKC 3C NKGKE
,&
CHLEKGPGLK
$A OUS SQ U W`W
LIIU
$ Sd`(` ( SSQ $ bS O`W O A `S TOQS
3CT
” r r

10.
5CP LK ,& E& M& ut
Deep Learning AMI
http://aws.typepad.com/sajp/2016/11/mxnet-default-framework-deep-learning-aws.html

11.
5CP LK 3
http://aws.typepad.com/sajp/2017/01/seamlessly-scale-predictions-with-aws-lambda-and-mxnet.html

12.
w
•
– 9GA
• 9GAm 9GAm 9GA
– ” m ”
• r ”
• X w r
– r mDC m r
– r ” v wm
v wm r ”
v w z
• l W
– r
• oI O X m?GK r r
• r oDMES` O S OW S S > c II E=
• fi
– ” ”
• r m
A L
VLK
A GKC 3C NKGKE
,&
CHLEKGPGLK
$A OUS SQ U W`W
LIIU
$ Sd`(` ( SSQ $ bS O`W O A `S TOQS
3CT
r r
9A r

13.
Amazon Rekognition
• r
r
• m v w
v wv ffw
• I.” ” m
ff
• r m m r
n 0
, ´
m MMIC

14.
Amazon Polly
• r h Sd`(` ( SSQ h
r n9GA G e
” r ´
• -/ m/2 t m u”
n r
• ” nG e
r ”
• r m m
r r
F S ` S POe
SO S 9C)
F S ` S POe
SO S 9C)
CTP
GL

15.
Amazon Lex
• ´ r ”
” r n9 Of
9 SdO r ”
• fi ”
r r ” m
r
• r r r n,
0 ´ ,
n , )20m,
/)

16.
b LGAC RCN
• r t u
Amazon Rekognition
AWS SDK
for iOS
Amazon S3 Bucket
Amazon Cognito Amazon Polly
M
Skate, Car, Street,
Parking, Town

17.
b w
Amazon Rekognition
AWS SDK
for iOS
Amazon S3 Bucket
Amazon Cognito
Amazon Polly
M
AWS
Lambda
Amazon S3 Bucket
M
Amazon
SNS
M
m´ CO P OyIEI
m
nt u
y
r r
´

18.
c gkf
• ”
Amazon Rekognition
AWS SDK
for iOS
Amazon S3 Bucket
Amazon Cognito
w
Amazon Rekognition
Amazon S3 Bucket
ido

19.
SGDP ! 2 DLN G
•
– - ,/*4 lIcWT`,) sMQ S1) sWFI3
– - ,/*, lIcWT`,),sMQ S1),
– - ,0*/ lIcWT`,)-sMQ S1).
– - ,0*4 lIcWT`-) sMQ S2) sWFI4
– - ,0*, lIcWT`-),sMQ S2),sWFI4),
– - ,0* lIcWT`-),),sMQ S2)-sWFI4)-
– - ,1*. lIcWT`-)-sMQ S2).sWFI X4).
– - ,1*4 lIcWT`-).(.) sMQ S3) sWFI,
– - ,2* lIcWT`.) sMQ S4) sWFI,,
– - ,2* lIcWT`/) p
WFI
IcWT`. p

20.
SGDP ! 2 DLN G
• 9LI I B T WFI $76 WFI3 MQ S2
w( v
2 w G h OSGDP
y d
https://github.com/awslabs/aws-sdk-ios-samples

21.
D PW S aP
r
I B O r
r
L GIC ew