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Hyperparameter Optimization with Neural Network Pruning. (arXiv:2205.08695v1 [cs.CV])
May 19, 2022, 1:11 a.m. | Kangil Lee, Junho Yim
cs.LG updates on arXiv.org arxiv.org
Since the deep learning model is highly dependent on hyperparameters,
hyperparameter optimization is essential in developing deep learning
model-based applications, even if it takes a long time. As service development
using deep learning models has gradually become competitive, many developers
highly demand rapid hyperparameter optimization algorithms. In order to keep
pace with the needs of faster hyperparameter optimization algorithms,
researchers are focusing on improving the speed of hyperparameter optimization
algorithm. However, the huge time consumption of hyperparameter optimization
due to …
More from arxiv.org / cs.LG updates on arXiv.org
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