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Published in 2022 at "Entropy"
DOI: 10.3390/e24010007
Abstract: Neural network is a dynamical system described by two different types of degrees of freedom: fast-changing non-trainable variables (e.g., state of neurons) and slow-changing trainable variables (e.g., weights and biases). We show that the non-equilibrium…
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Keywords:
theory quantum;
non trainable;
quantum gravity;
quantum ... See more keywords