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@@ -91,15 +91,15 @@ By the end of this book, you will be equipped with the skills you need to implem
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* 4.2. Forward Propagation in RNN
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* 4.3. Backpropagation through time (BPTT)
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* 4.4. Deriving BPTT step by step
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* 4.5. Vanishing and Exploding Gradients
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* [4.5. Vanishing and Exploding Gradients](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/04.%20Generating%20Song%20Lyrics%20Using%20RNN/4.05%20Vanishing%20and%20Exploding%20Gradients.ipynb)
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* [4.6. Generating song lyrics using RNN](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/04.%20Generating%20Song%20Lyrics%20Using%20RNN/4.06%20Generating%20Song%20Lyrics%20Using%20RNN.ipynb)
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* 4.7. Different types of RNN architectures
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### [5. Improvements to the RNN](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/tree/master/05.%20Improvements%20to%20the%20RNN)
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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. 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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* 5.9. Forward propagation in GRU cell
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* 5.10. Deriving backpropagation in GRU cell
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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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### [7. Learning Text Representations](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/tree/master/07.%20Learning%20Text%20Representations)
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* [7.1. Understanding Word2vec Model](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/07.%20Learning%20Text%20Representations/7.01%20Understanding%20Word2vec%20Model.ipynb)
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* 7.2. Continuous Bag of words
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* [7.2. Continuous Bag of words](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/07.%20Learning%20Text%20Representations/7.02%20Continuous%20Bag%20of%20words.ipynb)
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* 7.3. Math of CBOW
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* 7.4. Skip- Gram model
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* 7.5. Math of Skip-Gram

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