Using mutual information to evaluate the generalization capability of deep learning neural networks
There is a need to better understand how generalization works in a deep learning model. The goal of this paper is to provide a clearer view of the black box called neural network. This is done by using information theory to compute the flow of information within a network. The proposed framework use...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/137910 |