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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
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Series: | AI |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-2688/4/1/2 |