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2 | 2 |
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3 | 3 | # [Chapter 5. Improvements to the RNN](#) |
4 | 4 |
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5 | | -* [5.1. LSTM to the Rescue](#) |
| 5 | +* 5.1. LSTM to the Rescue |
6 | 6 | * 5.2. Understanding the LSTM cell |
7 | 7 | * 5.2.1. Forget Gate |
8 | 8 | * 5.2.2. Input Gate |
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17 | 17 | * 5.5.2.1. Gradients with respect to V |
18 | 18 | * 5.5.2.2. Gradients with respect to W |
19 | 19 | * 5.5.2.3. Gradients with respect to U |
20 | | -* [5.6. Predicting Bitcoins price using LSTM](#) |
| 20 | +* [5.6. Predicting Bitcoins price using LSTM](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/05.%20Improvements%20to%20the%20RNN/5.06%20Predicting%20Bitcoins%20price%20using%20LSTM%20RNN.ipynb) |
21 | 21 | * 5.7. Gated Recurrent Units |
22 | 22 | * 5.8. Understanding GRU cell |
23 | 23 | * 5.8.1. Update Gate |
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