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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References

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https://towardsdatascience.com/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21
https://towardsdatascience.com/introduction-to-rnns-sequence-to-sequence-language-translation-and-attention-fc43ef2cc3fd
https://blog.exxactcorp.com/5-types-lstm-recurrent-neural-network/
https://colah.github.io/posts/2015-08-Understanding-LSTMs/
https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
https://arxiv.org/pdf/1801.01078.pdf
https://arxiv.org/pdf/1412.3555.pdf
https://arxiv.org/pdf/1603.05118.pdf
https://www.arxiv-vanity.com/papers/1511.08400/
https://www.alphavantage.co/documentation/
https://towardsdatascience.com/activation-functions-neural-networks-1cbd9f8d91d6
https://en.wikipedia.org/wiki/Bidirectional_recurrent_neural_networks