Linear Activation Function: Why It Fails in Deep Learning
中文摘要
本文探讨线性激活函数失效的原因，说明由于多层叠加后仍为线性，它无法捕捉非线性特征。
English Summary
This article explains why linear activation functions fail in deep learning, as stacking them creates a single linear transformation, unable to capture complex non-linear data patterns.
Original Excerpt
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