Deep Learning for Forecasting: Current Trends and Challenges

Tim Januschowski, Jan Gasthaus, Yuyang Wang, Syama Sundar Rangapuram and Laurent Callot

Foresight: The International Journal of Applied Forecasting, 2018, issue 51, 42-47

Abstract: In the first installment of this two-part article, Tim Januschowski and colleagues presented a tutorial on the basics of Deep Learning (DL) through neural networks (NNs), with illustrations of how NNs have been applied for forecasting product sales and other variables at Amazon. In this segment, they describe the pros and cons of forecasting through NNs and discuss some areas of current research designed to improve the application of NNs for forecasting. Copyright International Institute of Forecasters, 2018

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:for:ijafaa:y:2018:i:51:p:42-47

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