Data Separability for Neural Network Classifiers and the Development of a Separability Index

27 May 2020 • Shuyue Guan • Murray Loew • Hanseok Ko

In machine learning, the performance of a classifier depends on both the classifier model and the dataset. For a specific neural network classifier, the training process varies with the training set used; some training data make training accuracy fast converged to high values, while some data may lead to slowly converged to lower accuracy... (read more)

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