Automated Search for Configurations of Deep Neural Network Architectures

arXiv: Learning, 2019.

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Abstract:

Deep Neural Networks (DNNs) are intensively used to solve a wide variety of complex problems. Although powerful, such systems require manual configuration and tuning. To this end, we view DNNs as configurable systems and propose an end-to-end framework that allows the configuration, evaluation and automated search for DNN architectures. T...More

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