Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks

arXiv:2403.11173v1 Announce Type: cross
Abstract: Artificial neural network (NN) architecture design is a nontrivial and time-consuming task that often requires a high level of human expertise. Neural architecture search (NAS) serves to automate the design of NN architectures and has proven to be successful in automatically finding NN architectures that outperform those manually designed by human experts. NN architecture performance can be quantified based on multiple objectives, which include model accuracy and some NN architecture complexity objectives, among others. The …

abstract architecture architectures artificial arxiv automate cs.lg cs.ne design expertise human multi-objective nas network networks neural architecture search neural network neural networks recurrent neural networks search type