Paper

Generalization of a Parametric Learning Rule

We proposed in previous work ([1, 2]) a method to find new learning rules for neural networks, considering them as parametric functions and using any standard optimization method (such as genetic algorithms, gradient descent, and simulated annealing) to select the parameters.

Authors: Samy Bengio · Yoshua Bengio · Jocelyn Cloutier · Jan Gecsei

Related discussions