On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems

Wagner Gonçalves Pinto, Antonio Alguacil, Michaël Bauerheim

Reproducibility of a deep-learning fully convolutional neural network is evaluated by training several times the same network on identical conditions (database, hyperparameters, ha…