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AI Systems

Activation Function

An activation function is the pointwise nonlinearity between linear layers. Without it, stacked layers collapse to a single linear map.

AI Systems

Xavier Initialization

Xavier/Glorot initialization scales initial weights so variance is preserved through a layer — the default that made deep tanh/sigmoid nets trainable before BatchNorm.

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AI Systems · Foundations

Xavier Initialization

Xavier/Glorot initialization scales initial weights so variance is preserved through a layer — the default that made deep tanh/sigmoid nets trainable before BatchNorm.

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