October 2021
Beginner to intermediate
416 pages
9h 3m
Korean
Content preview from 살아 움직이는 머신러닝 파이프라인 설계: 텐서플로와 함께하는 머신러닝 프로젝트 자동화
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살아 움직이는 머신러닝 파이프라인 설계
학습 후 저장된 모델을 내보내는 대신 저장된 모델을
TFLite
호환 모델로 변환하고 내보낸 후
해당 모델을 삭제합니다. 그러면
Trainer
컴포넌트가
TFLite
모델을 내보내고 메타데이터스
토어에 등록합니다. 그러면
Evaluator
나
Pusher
와 같은 다운스트림 컴포넌트가
TFLite
호환
모델을 사용할 수 있습니다. 다음 예에서는
TFLite
모델을 평가하는 방법을 보여 줍니다. 이 방
법은 모델 최적화(예: 양자화 )가 모델 성능 저하를 초래했는지를 탐지하는 데 유용합니다.
eval_config = tfma.EvalConfig(
model_specs=[tfma.ModelSpec(label_key=’my_label’, model_type=tfma.TF_LITE)],
...
)
evaluator = Evaluator(
examples=example_gen.outputs[‘examples’],
model=trainer_mobile_model.outputs[‘model’],
eval_config=eval_config,
instance_name=’tflite_model’)
이렇게 제공된 파이프라인 설정을 사용해 모바일 배포 모델을 자동으로 제작하여 모바일 앱
에서 모델을 배포할 수 있도록 아티팩트 스토어에
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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.