presentation for SES

1. ,
1

2. 1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
2

3. RQ1: ( ) ?
RQ2: ?
1.
3
[1]
[1] S. Amershi, et al., Software Engineering for Machine Learning: A Case Study Proc. of
ICSE 2019 Software Engineering in Practice, ACM, May 2019, pp. 291-300.

4. ( )
2. (1/2):
[5][6]
[5] J. Li, et al., Feature Selection: A Data Perspective,
ACM Computing Surveys, Vol. 50, No. 6, Dec. 2017, 45 pages.
[6] S. Ozdemir, et al., Feature Engineering Made Easy, Packt, 2018.
4
…
…
…

5. 5
2. (2/2):
[6]
[6] S. Ozdemir, et al., Feature Engineering Made Easy, Packt, 2018.
…
…
…

6. 3.
6
[1]
[2] [3] [4]
[7]
[9] [5]
[6]
[11]
[8]
[10]
+
:
:

7. [1]
[2]
[3]
[6]
[4]
[11]
[5]
[8][9]
[10]
[7]
4. (1/5):
7

8. VGG16
4. (2/5):
8
[3]
[4]
VGG16
VGG16
1 1

9. 9
4. (3/5):
1:
2:
3:
…
( )

10. V ! < # ≤ % -1< # ≤ !
S ! < # ≤ %
4. (4/5):
10
& = (
)*%,,)-,).%
/
,) − ,)1%
2 = 3
!
/
{5 ) − 6 ) } 8 9 :
; 9 :
<=: 9
n:
>?: > @?: @
:
:
: r
V -1< # ≤ ! -1< # ≤ !
S

11. 11
4. (5/5):
(1)
(3)
(2)
[" ≤ "$ ∩ & ≤ &$]
[" ≤ "$ ∩ ( ≤ ($]
[" > "$ ∪ & > &$]
[" > "$ ∪ ( > ($]
(4)
& = ,
-./,1-21-3/
4
1- − 1-6/" = 7
8
4
{: - − ; - }
: :

12. 5.
3
( ) LOC
Python(39) Python(138)
Python(137) Python(Chainer [7])(110)
(ChainerUI)
Python(33) Python(Chainer)
(ChainerUI)
(1)
(2)
(3)
[7] Preferred Networks, Chainer, https://chainer.org/. 12

13. 6.
13
(3 4,000 )

14. 2
(
1
1:600-699
2:700-799
3:800-899
94%
3
2
1:600-699
2:700-799
3:800-899
6
41:!"=30,#"=1.5
3:!"=10,#"=0.5
2:!"=20,#"=1.0
1:!"=30,#"=1.5
$%('( − ' + +)
-+%'
100
'
'
7.
14
1
2

15. 5.4%
8. (1/3)
750 1050 1410 750 1050 1410
0.019 0.005 0.012 0.041 0.037 0.028 15
0.020

16. 16
7. (2/3)
収束速度
:V
: V : V
750,900
150,300,450,600
150,300,450,600
750,900
! = #
$
%
{' ( − * ( }
, - :
/ - :
n:
:

17. 17
=
" #$$ %&(#$$)
" )*$ %&()*$)
M(n):
m(n):
n:
7. (3/3)
< )/* > )/.
1
2
3
4
< )// > )/0
:V
:V
M(900)
m(150)
m(900)
M(150)

18. RQ1: ( ) ?
⇒
⇒
18
9.
RQ1
RQ2: ?
⇒
⇒
RQ2

19. 10.
19
RNN

20. 20
11.
RQ1: ( ) ?
RQ2: ?

21. 21
, , ,
END