arXiv Machine Learning
techCenter
High Probability Derivative Bounds for Random tanh Neural Networks on a Hypercubetranslating…
1 min readUnknownarXiv Digital Media
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 result specializes these estimates to $\tanh$ networks with…