Browsing by Subject "Distributed deep learning"

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Parallel and Scalable Hyperparameter Optimization for Distributed Deep Learning Methods on High-Performance Computing Systems

Aach, Marcel (University of Iceland, School of Engineering and Natural Sciences, Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, 2025-01)

The design of Deep Learning (DL) models is a complex task, involving decisions on the general architecture of the model (e.g., the number of layers of the Neural Network (NN)) and on the optimization algorithms (e.g., the learning rate). These so-called ...

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