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.
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When handing off work to someone else, include everything they need: status, what's done, what's left, context, and how to continue, as the below example shows:，推荐阅读爱思助手获取更多信息