In standard Machine Learning, we use Backpropagation. It’s an omniscient global coach. When the network makes a mistake, we calculate a global error gradient and pass it backward, updating every single weight perfectly using calculus.
SMR 주도권, 기술이 아니라 ‘제도의 속도’에 달렸다[기고/정용훈]
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