할 수 있는 옵션에서 매개변수가 샘플링되므로 모든 조합을 시도하지 않아도 될 수 있습니다.
가능한 하이퍼파라미터의 수가 많으면 그리드 검색에 오랜 시간이 소요될 수 있습니다. 다양한
값을 시도한 후 가장 성능이 좋은 하이퍼파라미터를 선택하고 해당 매개변수를 중심으로 새 검
색을 시작하여 미세 조정할 수 있습니다.
텐서플로 생태계에서는 케라스 튜너
Keras
Tunner
(
https
://
oreil
.
ly
/
N3DqZ
)가 구현되어 있고,
쿠브플로에서는
Katib
(
https
://
oreil
.
ly
/
rVwCk
)을 사용하여 하이퍼파라미터 튜닝을 수행
합니다. 이 두 패키지는 그리드 및 랜덤 검색 외에도 베이지안 최적화
Bayesian
Optimization
및 하이
퍼밴드
Hyperband
알고리즘을 지원합니다.
6.5.2
TFX
파이프라인의 하이퍼파라미터 튜닝
TFX
파이프라인에서 ...
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