Tailored Channel Pruning: Achieve Targeted Model Complexity Through Adaptive Sparsity Regularization

In deep learning, the size and complexity of neural networks have been rapidly increased to achieve higher performance. However, this poses a challenge when utilized in resource-limited environments, such as mobile devices, particularly when trying to preserve the network’s performance. T...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Suwoong Lee, Yunho Jeon, Seungjae Lee, Junmo Kim
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Convolutional neural networks (CNN) efficient deep learning non-convex sparsity regularization structured pruning
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10840184/