MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values

27 Jul 2020Claudio Filipi Goncalves do SantosDanilo ColomboMateus RoderJoão Paulo Papa

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... (read more)

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