High probability derivative bounds for random tanh neural networks on a hypercube
Read the original at arxiv.org→arXiv:2608.26526v1 Announce Type: new Abstract: We establish high-probability bounds for mixed input derivatives of wide random neural networks whose activation derivatives satisfy a factorial growth bound. Our main...
Original headline: "High Probability Derivative Bounds for Random tanh Neural Networks on a Hypercube"
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- Aug 28, 04:00 UTC arXiv cs.LG lead source High Probability Derivative Bounds for Random tanh Neural Networks on a Hypercube