Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures

In this paper we propose a procedure to enable the training of several independent Multilayer Perceptron Neural Networks with a different number of neurons and activation functions in parallel (ParallelMLPs) by exploring the <i>principle of locality</i> and parallelization capabilities o...

Full description

Bibliographic Details
Main Authors: Felipe C. Farias, Teresa B. Ludermir, Carmelo J. A. Bastos-Filho
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:AI
Subjects:
Online Access:https://www.mdpi.com/2673-2688/4/1/2