RNNs
  • Recurrent Neural Networks and LSTM
  • Forecasting
  • Sequence Data
  • Recurrent Neural Networks
    • Architecture of RNN
    • Training an RNN
    • Vanishing Gradient
  • Long Short Term Memory (LSTM)
    • Architecture of LSTM
    • Walk through of LSTM
  • Gated Recurrent Unit
    • GRU
    • Architecture of GRU
  • Activation Functions
    • Various Activation Functions
  • Regularization of Neural Networks
    • Various Methods in Regularization
  • Applications of RNNs
    • Various Applications of RNN
    • RNNs Movie
  • Forecasting Stock Trends using RNNs
    • Objective
    • Alpha Vantage API
    • Stock Trends Prediction using LSTM.
    • Bidirectional RNN
    • Stock Trends Prediction using Bidirectional RNNs
  • Conclusion
    • Conclusion
    • References
  • License
    • License
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  1. Forecasting Stock Trends using RNNs

Stock Trends Prediction using Bidirectional RNNs

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Last updated 5 years ago

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For the same problem mentioned in LSTM Example, lets try to predict the prices using Bidirectional LSTM

Model Architecture of Bidirectional RNN

Below is the Actual vs Predicted trend in Apple Stock Prices using Bidirectional RNN

From the above graph, it is evident how closely we are able to predict the trend in the stocks using Bidirectional LSTM.

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Please find here from complete code Implementation
Stock Trends Prediction using LSTM.