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Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2016; 25th International C Alessandro E.P. Villa,Paolo Masulli,Antonio Javier Confe

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Analysis of Dropout Learning Regarded as Ensemble Learning with the learned network to express the final output. We find that the process of combining the neglected hidden units with the learned network can be regarded as ensemble learning, so we analyze dropout learning from this point of view.
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A Convolutional Network Model of the Primate Middle Temporal Areaon, a deep layer is directly trained to approximate primate electrophysiology data. This method is used to develop a model of the macaque monkey dorsal stream that estimates heading and speed from visual input.
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Radio und Fernsehen in der Schweiz, results also indicate that classification using only surface normals without RGB images outperforms classification using pure RGB images, which is to our knowledge a novel discovery in the field of DCNNs.
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