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| 11 | 11 | 	* 4.4.1. Gradients with respect to hidden to output layer weights, V | 
| 12 | 12 | 	* 4.4.2. Gradients with respect to hidden to hidden layer weights, W | 
| 13 | 13 | 	* 4.4.3. Gradients with respect to input to hidden layer weights, U | 
| 14 |  | -* 4.5. Vanishing and Exploding Gradients | 
| 15 |  | -	* 4.5.1. Vanishing Gradients | 
| 16 |  | -	* 4.5.2. Exploding Gradients | 
|  | 14 | +* [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) | 
|  | 15 | +	* 4.5.1. Gradient Clipping | 
|  | 16 | + | 
| 17 | 17 | * [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) | 
| 18 | 18 | * 4.7. Different types of RNN architectures | 
| 19 | 19 | 	* 4.7.1. One-to-One Architecture | 
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