Understanding variations (variant & invariant) of classification tasks/targets
There still lacks a certain mechanism to cater for variance in data and a lack of levels of impact brought by variance. We introduce a composite term called learning, where average improvement upon every epoch divided by previous loss value to have a standard reference across our models of differing...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2020
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Online Access: | https://hdl.handle.net/10356/138001 |
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Institution: | Nanyang Technological University |
Language: | English |
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