Deep learning is able to find similar SKUs and use that information to bootstrap the forecasting. For instance, SKUs might be associated with a top-level category as “clothing”, or lower-level ...

Numerous deep learning architectures have been developed to accommodate the diversity of time-series datasets across different domains. In this article, we survey common encoder and decoder designs ...

Campus News Seismologists use deep learning to forecast earthquakes A team of researchers at UC Santa Cruz and the Technical University of Munich created a new model that uses deep learning to ...