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Hyperparameter Optimization with Neural Network Pruning
[article]
2022
arXiv
pre-print
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
arXiv:2205.08695v1
fatcat:zfdkblp2mnc7fpnauxxkpxn5ya