Oliver Hennigh

AUTOMATED DESIGN USING NEURAL NETWORKS AND GRADIENT DESCENT

We propose a novel method that makes use of deep neural networks and gradient decent to perform automated design on complex real world engineering tasks. Our approach works by training a neural network to mimic the fitness function of a design optimization task and then, using the differential natur…