Randomly initialized depth-2 discrete networks are a priori biased toward Boolean functions with small disjunctive normal form complexity, and this bias quantitatively predicts training and generalization behavior including weight-decay effects.
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Characterising the Inductive Biases of Neural Networks on Boolean Data
Randomly initialized depth-2 discrete networks are a priori biased toward Boolean functions with small disjunctive normal form complexity, and this bias quantitatively predicts training and generalization behavior including weight-decay effects.