Fig. 13

ANN hyperparameter optimization for PCG prediction: cross-entropy loss in test set as a function of the number of neurons per layer for one and two-layer configurations with ReLU, Sigmoid and tanh activation functions.

ANN hyperparameter optimization for PCG prediction: cross-entropy loss in test set as a function of the number of neurons per layer for one and two-layer configurations with ReLU, Sigmoid and tanh activation functions.