January 2017
Beginner to intermediate
312 pages
7h 3m
Korean
Content preview from 밑바닥부터 시작하는 딥러닝
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137
4
장
-
신경망 학습
4
단계 - 반복
1
~
3
단계를 반복합니다.
이것이 신경망 학습이 이뤄지는 순서입니다. 이는 경사 하강법으로 매개변수를 갱신하는 방법
이며, 이때 데이터를 미니배치로 무작위로 선정하기 때문에
확률적 경사 하강법
stochastic
gradient
descent
,
SGD
이라고 부릅니다. ‘확률적으로 무작위로 골라낸 데이터’에 대해 수행하는 경사 하강법이라는
의미죠. 대부분의 딥러닝 프레임워크는 확률적 경사 하강법의 영어 머리글자를 딴
SGD
라는
함수로 이 기능을 구현하고 있습니다.
그럼 실제로 손글씨 숫자를 학습하는 신경망을 구현해봅시다. 여기에서는
2
층 신경망 (은닉층
이
1
개인 네트워크)을 대상으로
MNIST
데이터셋을 사용하여 학습을 수행합니다.
4.5.1
2
층 신경망 클래스 구현하기
처음에는
2
층 신경망을 하나의 클래스로 구현하는 것부터 시작합니다. 이 클래스의 이름은
TwoLayerNet
입니다.
*
소스 코드는
ch04
/
two
_
layer
_
net
.
py
에 있습니다.
import sys
,
os
sys
.
path
.
append
(
os
.
pardir
)
from common
.
functions import
*
from common
.
gradient import numerical
_
gradient
class TwoLayerNet
:
def
__
init
__(
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.