A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks
Deep spectral modelling for regression and classification is gaining popularity in the chemometrics domain. A major topic in the deep learning (DL) modelling of spectral data is the choice and optimization of the deep neural network architecture suitable for the specific task of spectral modelling....
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| Formato: | article |
| Idioma: | eng |
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2022
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| Texto completo: | http://hdl.handle.net/10400.1/18083 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/18083 |