MLShapedArray가 왜 도입되었어? 한글로
Generated on 8/20/2024
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MLShapedArray는 Apple의 Core ML에서 도입된 새로운 데이터 구조로, 머신러닝 작업을 보다 효율적이고 직관적으로 수행할 수 있도록 설계되었습니다. MLShapedArray는 다차원 배열로, 각 축의 길이와 스칼라 타입에 의해 정의됩니다. 이는 머신러닝 프레임워크에서 일반적으로 사용되는 수학 및 변환 작업을 지원하며, Apple Silicon의 강력한 연산 능력을 활용하여 높은 성능을 보장합니다. 또한, Python의 수치 라이브러리와 유사한 구조를 가지고 있어, 머신러닝에 익숙한 사용자들이 쉽게 적응할 수 있도록 돕습니다.
MLShapedArray는 ML Tensor와 함께 사용되며, ML Tensor는 MLShapedArray로부터 생성될 수 있습니다. 이를 통해 복잡한 코드 작성 없이도 머신러닝 모델을 보다 쉽게 구현하고 조작할 수 있습니다.
이러한 도입은 머신러닝 작업을 단순화하고, 개발자가 더 나은 사용자 경험을 창출하는 데 집중할 수 있도록 돕기 위한 것입니다.
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