arXiv:1807.03523 공식 코드 · Papers with Code

DLOPT: Deep Learning Optimization Library

Andrés Camero, Jamal Toutouh, Enrique Alba

제출 2018-07-10

원문 초록

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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