The world as a neural network

We discuss a possibility that the entire universe on its most fundamental level is a neural network. We identify two different types of dynamical degrees of freedom: “trainable” variables (e.g. bias vector or weight matrix) and “hidden” variables (e.g. state vector of neurons).

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