CORDIS Project
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This project aims to enhance deep neural networks by developing advanced optimization methods for hyperparameter tuning. It focuses on creating models that improve performance and reduce the need for expert intervention in machine learning tasks.
Deep neural networks (DNNs) have led to dramatic improvements of the state-of-the-art for many important classification problems, such as object recognition from images or speech recognition from audio data.
However, DNNs are also notoriously dependent on the tuning of their hyperparameters.
Since their manual tuning is time-consuming and requires expert knowledge, recent years have seen the rise of Bayesian optimization methods for automating this task.
While these methods have had substantial…
ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
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