Browsing by Author "Alves, Pedro Manuel Ferreira"
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- Development and evaluation of a complex-valued neural network library: the Renplex open-source projectPublication . Alves, Pedro Manuel Ferreira; Faria, Luiz Felipe Rocha deComplex-Valued Neural Networks (CVNN) have shown to be a promising type of Artificial Neural Networks (ANN) when compared to its real-valued counter-parts. However, it has been a research field where authors autonomously developed and tested CVNN with no common tools or library to module them. This Master Thesis presents a library called Renplex capable of modulating CVNN as an open-source project for research and even for small scale applications. Although not suitable for beginners in the field of ANN or programming, the library provides a low-level interactive with Machine Learning (ML) pipeline, in order to accurately control CVNN evaluation. To test the library’s core functionalities, architectures such as Complex-Valued Multi-Layer Perceptron, Auto-encoder and Convolutional Neural Network were trained. These achieved test results that outperformed their real-valued counterparts for the MNIST dataset and a synthetically generated dataset for signal reconstruction. Such improvement on performance, has been previously stated throughout literature. It consisted in greater test accuracy (or lower loss values), more stability in training, faster convergence in terms of epochs needed, greater capability of generalization, and subsequently less prone to over-fitting. This work will introduce a new tool for exploring CVNN, capable of scaling and potentially uncovering many of their hidden potentials for ML-related tasks.