This paper is a survey of neural network pruning algorithms. The approach taken by the methods described here is to train a network that is larger than necessary and then remove the parts that are not needed. > 展开全部 机器翻译 参考文献 被引用(4) 社区问答 参考文献 发布时间 · 被...
Pruning algorithms-a survey R. Reed Sep 1993 A rule of thumb for obtaining good generalization in systems trained by examples is that one should use the smallest system that will fit the data. Unfortunately, it usually is not obvious what size is best; a system that is too small will not...
He is currently working toward a Ph.D. degree in Computer Science at the School of Computer and Communication Engineering, University of Science and Technology Beijing. His current research interests include deep learning domain-specific processors and co-designed optimization algorithms....
2013. Pruning algorithms of neural networks - a compara- tive study. Central European Journal of Computer Science, 3(3):105-115.M. G. Augasta and T. Kathirvalavakumar, "Pruning algorithms of neural networks -- a comparative study," Central European Journal of Computer Science, vol. 3, ...
Reed, R.: Pruning algorithms – a survey. IEEE Transactions on Neural Networks 4, 740–747 (1993) Article Google Scholar Lecun, Y., Denker, J., Solla, S., Howard, R.E., Jackel, L.D.: Optimal brain damage. In: Touretzky, D.S. (ed.) Advances in Neural Information Processing Sy...
The goal of this paper is therefore to provide a survey of modern advances in the theory of B&B algorithms, particularly with regards to the above three components. In addition, three important research directions are highlighted that are currently unresolved or unstudied in the literature. These ...
the act of trimming a plant 学习怎么用 双语例句 用作名词(n.) He has been pruning the pear trees. 他一直在修剪梨树。 Wounds frequently occur as a result of pruning. 修剪往往造成损伤。 权威例句 Pruning algorithms-a survey Pruning algorithms-a survey ...
We were able to show that the variability of the resistance states due to the resetting of the memristive devices leads to convergence of the learning algorithms and finding optimal voltage amplitudes for the pruning pulses through a thorough parameter study. Furthermore, we could show that we ...
Reed, R.: Pruning algorithms — A survey, IEEE Transactions on Neural Networks, 4(5) (1993) pp. 740–747. Google Scholar Rementeria, S. and Basogain, X.: Predicting Sunspots with a Self-Configuring Neural System, Proceedings of the Eighth Information Processing and Management of Uncertainty...
Nowadays, structured pruning algorithms have been widely discussed to trim the parameters in a neat and regular way, which can be further divided into vector-level [18], kernel-level [19], group-level [20], channel-level [21] and filter-level [22] pruning methods. Anwar et al. [12] ...