August 2022
Beginner to intermediate
464 pages
10h 42m
Korean
Content preview from 개발자를 위한 머신러닝&딥러닝
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111
4
장
텐서플로 데이터셋으로 공개 데이터셋 사용하기
Learning
Algorithms},
journal = {CoRR},
volume = {abs/1708.07747},
year = {2017},
url = {http://arxiv.org/abs/1708.07747},
archivePrefix = {arXiv},
eprint = {1708.07747},
timestamp = {Mon, 13 Aug 2018 16:47:27 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1708-07747},
bibsource = {dblp computer science bibliography, https://dblp.org}
}""",
)
출력 정보에서 (앞에서 본 ) 분할 세트와 데이터셋의 특성은 물론 인용, 설명, 버전 같은 추가
정보도 볼 수 있습니다.
4.2
케라스 모델에서 텐서플로 데이터셋 사용하기
2
장에서 텐서플로와 케라스를 사용해 케라스에 내장된 데이터셋에서 간단한 컴퓨터 비전 모델
을 만드는 방법을 소개했습니다. 예를 들어 패션
MNIST
를 사용하는 코드는 다음과 같습니다.
mnist = tf.keras.datasets.fashion_mnist ...
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