May 2020
Beginner to intermediate
952 pages
24h 11m
Korean
Content preview from 핸즈온 머신러닝(2판): 사이킷런, 케라스, 텐서플로 2를 활용한 머신러닝, 딥러닝 완벽 실무
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583
14
장
합성곱 신경망을 사용한 컴퓨터 비전
14.8
분류와 위치 추정
10
장에서 언급한 것처럼 사진에서 물체의 위치를 추정하는 것은 회귀 작업으로 나타낼 수 있
습니다. 물체 주위의 바운딩 박스
bounding
box
를 예측하는 일반적인 방법은 물체 중심의 수평, 수
직 좌표와 높이, 너비를 예측하는 것입니다. 즉 네 개의 숫자를 예측해야 합니다. 이 때문에 모
델을 크게 바꿀 필요는 없습니다. (일반적으로 전역 평균 풀링 층 위에 ) 네 개의 유닛을 가진
두 번째 밀집 출력 층을 추가하고
MSE
손실을 사용해 훈련합니다.
base_model = keras.applications.xception.Xception(weights="imagenet",
include_top=False)
avg = keras.layers.GlobalAveragePooling2D()(base_model.output)
class_output = keras.layers.Dense(n_classes, activation="softmax")(avg)
loc_output = keras.layers.Dense(4)(avg)
model = keras.Model(inputs=base_model.input,
outputs=[class_output, loc_output])
model.compile(
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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.