overfitting
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もっと見る12ブックマークGrokking: Generalization Beyond Overfitting on Small Algorithmic DatasetsIn this paper we propose to study generalization of neural networks on small algorithmically generated datasets. In this setting, questions about data efficiency, memorization, generalization, and speed of learning can be studied in great detail. In some situations we show that neural networks le...
arxiv.org
arxiv.org9ブックマークUS9406017B2 - System and method for addressing overfitting in a neural network - Google PatentsUS9406017B2 - System and method for addressing overfitting in a neural network - Google Patents System and method for addressing overfitting in a neural network Download PDF Info Publication number US9406017B2 US9406017B2 US14/015,768 US201314015768A US9406017B2 US 9406017 B2 US9406017 B2 US 9406...
patents.google.com
patents.google.com
yut.hatenablog.com6ブックマークReducing Overfitting in Deep Networks by Decorrelating RepresentationsOne major challenge in training Deep Neural Networks is preventing overfitting. Many techniques such as data augmentation and novel regularizers such as Dropout have been proposed to prevent overfitting without requiring a massive amount of training data. In this work, we propose a new regularize...
arxiv.org
arxiv.org5ブックマークWO2014105866A1 - System and method for addressing overfitting in a neural network - Google PatentsWO2014105866A1 - System and method for addressing overfitting in a neural network - Google Patents System and method for addressing overfitting in a neural network Download PDF Info Publication number WO2014105866A1 WO2014105866A1 PCT/US2013/077608 US2013077608W WO2014105866A1 WO 2014105866 A1 WO...
patents.google.com
patents.google.com