Deep Learning for Forecasting: Current Trends and Challenges.
Foresight: The International Journal of Applied Forecasting, 2018•search.ebscohost.com
PREVIEW 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.
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.
Abstract
PREVIEW 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.
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