Deep learning and ecological time series

We provide an accessible framework for applying deep learning methods for classifying time series to ecological questions. Using mcfly and TensorFlow, we demonstrate the value of these approaches for species distribution models, phenological predictions, and species identification from wingbeat spectra.

url_pdf = “https://www.sciencedirect.com/science/article/pii/S1574954121000431"

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