Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization

Autor: Guerrero-Viu, Julia, Hauns, Sven, Izquierdo, Sergio, Miotto, Guilherme, Schrodi, Simon, Biedenkapp, Andre, Elsken, Thomas, Deng, Difan, Lindauer, Marius, Hutter, Frank

Neural architecture search (NAS) and hyperparameter optimization (HPO) make deep learning accessible to non-experts by automatically finding the architecture of the deep neural network to use and tuning the hyperparameters of the used training pipeli

Externí odkaz: http://arxiv.org/abs/2105.01015

Deepdefense: annotation of immune systems in prokaryotes using deep learning.

Autor: Hauns S; Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg 79110, Germany., Alkhnbashi OS; Center for Applied and Translational Genomics (CATG), Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Healthcare City, Al Razi St. P.O 505055, Dubai, United Arab Emirates.; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Healthcare City, Al Razi St. 505055, Dubai, United Arab Emirates., Backofen R; Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg 79110, Germany.; Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg 79104, Germany.

Publikováno v: GigaScience [Gigascience] 2024 Jan 02; Vol. 13.