Jeudi 28 Juin


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Jeudi 28 Juin
Heure: 14:00 - 15:30
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: Hyperparameter Optimization for Neural Networks
Description: Razvan Andonie We introduce a dynamic early stopping condition for Random Search optimization algorithms. We test our algorithm for SVM hyperparameter optimization for classification tasks, on six commonly used datasets. According to the experimental results, we reduce significantly the number of trials used. Since each trial requires a re-training of the SVM model, our method accelerates the RS optimization. The code runs on a multi-core system and we analyze the achieved scalability for an increasing number of cores.