아직 표준화하지 못했습니다. 이 책에서는 재현 가능한 자동화 모델을 만드는 표준화된 머신러
닝 시스템을 구축하는 방법을 보여드리고자 합니다.
머신러닝 파이프라인이란?
지난 몇 년 동안 머신러닝 분야는 놀랍게 발전했습니다. 그래픽 처리 장치
Graphics
Processing
Unit
(
GPU
)의 광범위한 가용성과
BERT
Bidirectional
Encoder
Representations
from
Transformers
와 같은 트랜
스포머
transformer
나
DCGAN
Deep
Convolutional
GAN
과 같은
GANs
Generative
Abidarical
Networks
등 새로
운 딥러닝 개념의 등장으로
AI
프로젝트의 수가 급증했습니다.
AI
Artificial
Intelligence
스타트업의
수는 어마어마합니다. 최신 머신러닝 개념을 조직의 모든 종류의 비즈니스 문제에 더 많이 적
용하고 있습니다. 가장 뛰어난 머신러닝 솔루션으로 급급해진 가운데, 관심을 덜 받은 몇 ...
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