Deep learning for supervised classification of temporal data in ecology

What is it about?

This paper describes how computational tools from deep learning can be efficiently and effectively applied to ecological problems were time series data, like climate records, are currently used. Two examples are estimating species distributions or forecasting phenology.

Featured Image

Why is it important?

We provide a framework and examples that help non-experts use deep learning tools. This will help unlock some of the value of deep learning to questions beyond image and language recognition.