title: Predicting values in time series for future periods using RNN in Tensorflow
body: <p>I'm kindly new to deep learning and its approach to time series predicting. Recently I found one article about <a href="https://github.com/JustinBurg/TensorFlow_TimeSeries_RNN_MapR/blob/master/RNN_Timeseries_Demo.ipynb" rel="nofollow noreferrer">time series predicting using Recurrent Neural Networks (RNN) in Tensorflow</a>.</p>
  
  <p>In that article the test set is the last 20 values and the model predicts <code>y_pred</code> also for the last 20 values of the dataset and then calculates MSE of <code>y_test</code> and <code>y_pred</code>. My question will be: how can I extend the model to receive the prediction for next periods in the future (actual forecasting)?</p>
  
  <p>Thanks in advance!</p>