Gaussian Process Priors

https://d2l.ai/chapter_gaussian-processes/gp-priors.html

“Below, we show sample functions from a Gaussian process with this kernel.”

The visualization for the neural network kernel appears missing.

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In 18.2.2 “Since Gaussians are closed under addition…”
Here you need to further assume $w_0$ and $w_1$ are jointly Gaussian or even independent. Otherwise theor linear combinations may not be Gaussian.