Analysis of Model Compression Using Knowledge Distillation
In the development of deep learning, several convolution neural network (CNN) models are designed to solve various tasks. However, these CNN models are complex and cumbersome to achieve state-of-the-art performance. The current CNN models remain to suffer from the problem of large models. Thus, mode...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9852455/ |