A DYNAMIC COMPACT DEEP LEARNING ARCHITECTURE FOR PATTERN RECOGNITION
Dynamic deep learning networks are a class of neural network architectures that are able to adapt their structure and parameters during training or inference. This allows the network to better handle changing input data, improve performance on tasks with non-stationary data distributions, and learn...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/id/eprint/24658/1/FarhatUllahKhan_17000870.pdf http://utpedia.utp.edu.my/id/eprint/24658/ |
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