Zero-Keep Filter Pruning for Energy Efficient Deep Neural Network
Recent deep learning models succeed to achieve high accuracy and fast inference time, but they require high-performance computing resources because of a large number of parameters. However, not all systems have high-performance hardware. Sometimes, deep learning model needs to be run on edge devices...
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Published in: | 2020 International Conference on Information and Communication Technology Convergence (ICTC) pp. 1288 - 1292 |
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Main Authors: | , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
21-10-2020
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Subjects: | |
Online Access: | Get full text |
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