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DeepRag.AI on Instagram: "As neural networks become very wide, their neuron outputs tend to follow a Gaussian (normal) distribution. This happens because each neuron sums many inputs, and large sums naturally average out into predictable patterns. In this limit, an infinitely wide neural network can be viewed as a Gaussian Process a model defined not by individual weights, but by how outputs at different inputs are statistically related through a covariance function. From this perspective, train
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