added more deep learning models

huseinzol05 · Aug 13, 2019 · fa00d35 · fa00d35
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diff --git a/README.md b/README.md
@@ -41,6 +41,8 @@
  7. Vanilla
  8. Vanilla Bidirectional
  9. Vanilla 2-Path
+ 10. LSTM Seq2seq
+ 11. LSTM Bidirectional Seq2seq
 
 #### [Stacking models](stacking)
  1. Deep Feed-forward Auto-Encoder Neural Network to reduce dimension + Deep Recurrent Neural Network + ARIMA + Extreme Boosting Gradient Regressor
@@ -240,6 +242,14 @@ So we will let the model do forecasting based on last 30 days, and we will going
 
 <img src="output/vanilla-2path.png" width="70%" align="">
 
+10. LSTM Seq2seq, 94.9817%
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+<img src="output/lstm-seq2seq.png" width="70%" align="">
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+11. LSTM Bidirectional Seq2seq, 94.517%
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+<img src="output/bidirectional-lstm-seq2seq.png" width="70%" align="">
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 ### Results analysis
 
 1. Outliers study using K-means, SVM, and Gaussian on TESLA stock