You can think of a neural network (NN) as a complex function that accepts numeric inputs and generates numeric outputs. The output values for an NN are determined by its internal structure and by the ...

However, some limitations remain, such as poor interpretability, computational cost, and class imbalance. This study proposes a novel deep learning algorithm based on Depthwise Separable Residual ...

In this study, we have benefited from weighted binary cross-entropy in the learning process as a loss function instead of ordinary cross-entropy (binary cross-entropy). This model allocates more ...