2 papers
math.MG2026
Functional dimension of feedforward ReLU neural networks
J. Elisenda Grigsby, Kathryn Lindsey, Robert Meyerhoff +1
It is well-known that the parameterized family of functions representable by fully-connected feedforward neural networks with ReLU activation function is precisely the class of pie…
cs.LG2024
On Functional Dimension and Persistent Pseudodimension
J. Elisenda Grigsby, Kathryn Lindsey
For any fixed feedforward ReLU neural network architecture, it is well-known that many different parameter settings can determine the same function. It is less well-known that the…