December 2020
Beginner to intermediate
256 pages
5h 15m
Korean
Content preview from 안전한 인공지능 시스템을 위한 심층 신경망 강화
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92
1
부
인공지능을 속이는 기술
(예: 목소리 인증
voice
verification
)과 더 일반적인 오디오 분류에도 적용할 수 있습니다.
4.5
ResNet50
을 사용한 이미지 분류
이제 다룰 예제에서는 이미지 분류를 설명하기 위해 온라인으로 제공하는 모델 중 하나인
ResNet50
을 사용합니다. 이 모델의 크기는 약
102MB
로 저장에 많은 용량이 필요하지 않습
니다. 현재 다른 최신 이미지 분류 신경망은 모두 적대적 입력에 잘 맞지 않는다고 알려졌습
니다.
이 예제에서는
ResNet50
분류기를 다운로드하고 하나 이상의 이미지에 대한 예측을 생성하는
방법을 보여줍니다. 나중에 이
ResNet50
분류기는 적대적인 사례를 확인하는 데 유용할 것입
니다.
NOTE
_
예제 코드:
ResNet50
을 사용한 이미지 분류
이 책의 깃허브에 전체 예제 코드(
chapter04
/
resnet50
_
classif
ier
.
ipynb
)가 수록되었습니다.
먼저 텐서플로와 케라스 라이브러리와
ResNet50
모델을 불러옵니다.
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.applications.resnet50 import ResNet50
import numpy as np ➊
model = ResNet50 ...
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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.