DLOPT: Deep Learning Optimization Library

Andrés Camero; Jamal Toutouh; Enrique Alba

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arXiv · 1807.03523

DLOPT: Deep Learning Optimization Library

Andrés Camero·Jamal Toutouh·Enrique Alba

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Abstract

Deep learning hyper-parameter optimization is a tough task. Finding an appropriate network configuration is a key to success, however most of the times this labor is roughly done. In this work we introduce a novel library to tackle this problem, the Deep Learning Optimization Library: DLOPT. We briefly describe its architecture and present a set of use examples. This is an open source project developed under the GNU GPL v3 license and it is freely available at https://github.com/acamero/dlopt

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Andrés Camero, Jamal Toutouh, Enrique Alba. 2018-07-10. DLOPT: Deep Learning Optimization Library. https://arxiv.org/abs/1807.03523

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