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05. Improvements to the RNN/README.md

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# [Chapter 5. Improvements to the RNN](#)
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* 5.1. LSTM to the Rescue
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* 5.2. Understanding the LSTM cell
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* 5.2.1. Forget Gate
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* 5.2.2. Input Gate
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* 5.2.3. Output Gate
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* 5.2.4. Updating the cell state
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* 5.2.5. Updating the hidden state
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* [5.2. Understanding the LSTM cell] (https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/05.%20Improvements%20to%20the%20RNN/5.02%20Understanding%20the%20LSTM%20cell.ipynb)
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* 5.3. Forward propagation in LSTM
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* 5.4. Backpropagation in LSTM
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* 5.5. Deriving backpropagation of LSTM Step by step
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* 5.10.2.2. Gradients with respect to W
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* 5.10.2.3. Gradients with respect to U
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* 5.11. Implementing GRU cell in Tensorflow
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* 5.12. BiDirectional RNN
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* [5.12. BiDirectional RNN](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/05.%20Improvements%20to%20the%20RNN/5.12%20BiDirectional%20RNN.ipynb)
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* 5.13. Going Deep with Deep RNN
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* 5.14. Language Translation Seq2seq models
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* 5.14.1. Encoder

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