다음 튜토리얼에서는 Vertex AI 신경망 아키텍처 검색 실행의 다양한 단계를 단계별로 설명합니다. docker를 신경망 아키텍처 검색 서비스와 통합을 돕기 위해서는 이러한 튜토리얼을 읽는 것 뿐만 아니라 실행해보길 권장합니다. 그런 후 이 프로세스는 고유 docker를 신경망 아키텍처 검색 서비스와 통합하는 것을 도와줍니다.
이러한 튜토리얼은 경량이며 실행에 몇 가지 Cloud CPU만 필요하며 이 프로젝트에는 기본적으로 추가 할당량이 필요하지 않습니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-04(UTC)"],[],[],null,["# Vertex AI tutorials\n\nThe following tutorials step\nthrough the various stages of a Vertex AI Neural Architecture Search run. To help\nyou integrate your docker with the Neural Architecture Search service,\nwe encourage you to *run* these tutorials, not only read through\nthem. This process\nwill then help you to integrate your own docker with the\nNeural Architecture Search service.\n\nThese tutorials are lightweight and only require a few cloud CPUs\nto run, which your project should have by default without\nany additional quota needs.\n\n1. [Run baseline training on Google Cloud using your docker](https://github.com/google/vertex-ai-nas/blob/main/third_party/tutorial/vertex_tutorial1.md).\n2. [Create search spaces](https://github.com/google/vertex-ai-nas/blob/main/third_party/tutorial/vertex_tutorial2.md).\n3. [Run an architecture search on Google Cloud](https://github.com/google/vertex-ai-nas/blob/main/third_party/tutorial/vertex_tutorial3.md).\n4. [Add latency constraint to search: FLOPS or device based](https://github.com/google/vertex-ai-nas/blob/main/third_party/tutorial/vertex_tutorial4.md).\n\nAfter running the tutorials, you should read the\n[best practices and suggested workflow](/vertex-ai/docs/training/neural-architecture-search/suggested-workflow)\nbefore running the first Neural Architecture Search search."]]
