Blending Pruning Criteria for Convolutional Neural Networks

Wei He; Zhongzhan Huang; Mingfu Liang; Senwei Liang; Haizhao Yang

doi:10.1007/978-3-030-86380-7_1

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Blending Pruning Criteria for Convolutional Neural Networks

Wei He Zhongzhan Huang Mingfu Liang Senwei Liang Haizhao Yang

Year: 2021 Lecture notes in computer science Pages: 3-15 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-86380-7_1

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Keywords:

Computer science Pruning Convolutional neural network Cluster analysis Redundancy (engineering) Artificial intelligence Ranking (information retrieval) Machine learning Rank (graph theory) Filter (signal processing) Artificial neural network Data mining Mathematics

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Blending Pruning Criteria for Convolutional Neural Networks

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