MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
Different techniques have emerged in the deep learning scenario, such as Convolutional Neural Networks, Deep Belief Networks, and Long Short-Term Memory Networks, to cite a few. In lockstep, regularization methods, which aim to prevent overfitting by penalizing the weight connections, or turning off some units, have been widely studied either. …