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How to pass multiple inputs (features) to LSTM using Tensorflow?

 I have to predict the performance of an application. The inputs will be time series of past performance data of the application, CPU usage data of the server where application is hosted, the Memory usage data, network bandwidth usage etc. I'm trying to build a solution using LSTM which will take these input data and predict the performance of the application for next one week. I'm able to build a solution which takes one input, ie past performance data of the application. I'm currently stumbled at the part where I have to pass these multiple inputs. Could anyone please give me some guidance in doing that?

Tags: LSTM, Time, prediction, series

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You could look into the following tutorial:

Multivariate Time Series Forecasting with LSTMs in Keras



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