How to Use Features in LSTM Networks for Time Series Forecasting

From Blog – Machine Learning Mastery
April 18, 2017 - 3:00pm
The Long Short-Term Memory (LSTM) network in Keras supports multiple input features. This raises the question as to whether lag observations for a univariate time series can be used as features for an LSTM and whether or not this improves forecast performance. In this tutorial, we will investigate the use of lag observations as features […] The post How to Use Features in LSTM Networks for Time Series Forecasting appeared first on Machine Learning Mastery.


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