DLOPT: Deep Learning Optimization Library

July 10, 2018 · Entered Twilight · 🏛 arXiv.org

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Repo contents: .gitignore, CONTRIBUTING.md, LICENSE, README.md, data, dlopt, docs, etc, examples, publications, requirements.txt, setup.py

Authors Andrés Camero, Jamal Toutouh, Enrique Alba arXiv ID 1807.03523 Category cs.LG: Machine Learning Cross-listed cs.NE, stat.ML Citations 9 Venue arXiv.org Repository https://github.com/acamero/dlopt ⭐ 12 Last Checked 1 month ago

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