Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios
This study presents the concept of transfer learning (TL) to the chemometrics community for updating DL models related to spectral data, particularly when a pre-trained DL model needs to be used in a scenario having unseen variability. This is the typical situation where classical chemometrics model...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Texto completo: | http://hdl.handle.net/10400.1/15489 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/15489 |