NumPy-Keras, originally named NumPyMultilayerPerceptron, is a library for implementing a multilayer perceptron (MLP) using numpy. Its purpose is to provide a simple and easy-to-understand ...

To surmount these challenges, this article presents MLP-Net, a novel multilayer perceptron (MLP) fusion network for IRSTD. The architecture combines the advantages of CNNs and MLPs to capture global ...

Graph Convolutional Network (GCN) and its variants emerged as powerful graph deep learning methods with promising performance on graph analysis tasks. Different variants improve performance by ...

Multi-layer Perceptron (MLP) Neural Network This project involves training and testing a Multi-layer Perceptron (MLP) Neural Network using two datasets: the iris dataset and an autoencoder dataset.

The training of the MLP was performed using on scikit-learn multilayer perceptron implementation (Pedregosa et al., 2011). Statistical tests were carried out using InfoStat software (Córdoba, ...