Deep learning models to identify penguins' prey capture rates

<p dir="ltr">We determined how well deep learning models would work to predict individual prey capture events from tri-axial accelerometer data collected from Chinstrap Penguins. This as done in the Python programming language.</p><p dir="ltr">Two models were trained (CNN and V-Net architectures) and predictions were made on individual birds that have not been exposed to the model training.</p><p dir="ltr">The resources include all the source code to produce the figures in the associated publication, as well as example data to run the scripts on.</p><p><br></p>