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Showing 1 to 1 of 1 for “"deep learning, regularization, generalization, overfitting, Drop-Activation"”.

  1. REGULARIZATION ON MACHINE LEARNING

    Deep neural networks have become a powerful tool for machine learning problems. However, overfitting frequently occurs. To achieve better generalization, many regularization methods were proposed to reduce overfitting. In this thesis, we propose a simple-yet-effective regularization method called …

    nus Repository record for REGULARIZATION ON MACHINE LEARNING (opens in a new tab)