シェーダだけで世界を創る！three.jsによるレイマーチングThis document summarizes the correspondence between single-layer neural networks and Gaussian processes (GPs). It reviews how the outputs of a single-layer neural network converge to a GP in the infinite-width limit, with the network's covariance function determined by its architecture. The document derives the mean and covariance functions for the GP corresponding to a single-layer network, and n
