Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem)
中文摘要
残差连接在神经网络中已沿用近十年，DeepSeek正试图革新这一核心技术。
English Summary
DeepSeek is attempting to reinvent residual connections, a fundamental neural network component that has remained largely unchanged for a decade.
原文节选
For nearly a decade, this part of neural networks barely changed. DeepSeek is trying to reinvent it. The post Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem) appeared first on Towards Data Science.