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밑바닥부터 시작하는 딥러닝
book

밑바닥부터 시작하는 딥러닝

by 사이토 고키, 개앞맵시(이복연)
January 2017
Beginner to intermediate
312 pages
7h 3m
Korean
Hanbit Media, Inc.
Content preview from 밑바닥부터 시작하는 딥러닝
162
밑바닥부터 시작하는 딥러닝
MulLayer
를 사용하여 [그림
5
-
16
]의 순전파를 다음과 같이 구현할 수 있습니다 (소스 코드는
ch05
/
buy
_
apple
.
py
에 있습니다).
apple
=
100
apple
_
num
=
2
tax
=
1
.
1
#
계층들
mul
_
apple
_
layer
=
MulLayer
()
mul
_
tax
_
layer
=
MulLayer
()
#
순전파
apple
_
price
=
mul
_
apple
_
layer
.
forward
(
apple
,
apple
_
num
)
price
=
mul
_
tax
_
layer
.
forward
(
apple
_
price
,
tax
)
print
(
price
)
#
220
또, 각 변수에 대한 미분은
backward
( )에서 구할 수 있습니다.
#
역전파
dprice
=
1
dapple
_
price
,
dtax
=
mul
_
tax
_
layer
.
backward
(
dprice
)
dapple
,
dapple
_
num
=
mul
_
apple
_
layer
.
backward
(
dapple
_
price
)
print
(
dapple
,
dapple
_
num
,
dtax
)
#
2
.
2 110 200
backward
( ) 호출 순서는
forward
( ) 때와는 반대입니다. 또,
backward
( )가 받는 인수는
‘순전파의 출력에 대한 미분’임에 주의하세요. 가령
mul
_
apple
_
layer
라는 곱셈 계층은 순전파
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Publisher Resources

ISBN: 9788968484636