Abstract
Machine learning techniques have been extensively used in a number of applications, mainly that ones based on deep learning. However, such techniques need to have their hyperparameters fine-tuned for each specific application, being crucial to their good performance. This proposal aims at introducing Genetic Programming (GP) for parameter fine-tuning in Restricted Boltzmann Machines (RBMs…