Time series forecasting using deep learning with 2 numFeatures
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israt fatema
on 15 Sep 2020
Commented: israt fatema
on 12 Feb 2021
How to use two input features to get 1 output using this example?
This example use 1 numFeatures, for example if i have time series data with 2 features, wind speed and temperature, how can i use this example to forecast weather?
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Accepted Answer
Anshika Chaurasia
on 30 Sep 2020
Hi Israt,
It is my understanding that you have two features as input and want to train the network with this input.
numFeatures = 2; %take 2 features as input
numResponses = 1; %give 1 output
layers = [ ...
sequenceInputLayer(numFeatures)
lstmLayer(numHiddenUnits)
fullyConnectedLayer(numResponses)
regressionLayer];
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