PREDICTION APPARATUS, PREDICTION METHOD, AND PREDICTION PROGRAM
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United States of America Patent
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Feb 22, 2017
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Jul 29, 2016
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Abstract
In a prediction apparatus for a learning system, an obtaining unit obtains, as input variables, at least one parameter indicative of a structure of a convolutional neural network, the number of nodes of a learning system, and a sub-batch number indicative of the number of pieces of training data collectively processed by at least one graphic processing unit. A predictor predicts at least one of learning time and an average mini-batch size as a function of the input variables obtained by the obtainer. The learning time is time required for one update of all the weights by a central processing unit. The average mini-batch size is an average number of pieces of training data used for the one update of all the weights.
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