Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time

16 Jun 2020Roberto L. CastroDiego AndradeBasilio Fraguela

Hyperparameters tuning is a time-consuming approach, particularly when the architecture of the neural network is decided as part of this process. For instance, in convolutional neural networks (CNNs), the selection of the number and the characteristics of the hidden (convolutional) layers may be decided... (read more)

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