Neural networks and deep learning Chapter 6: Circular neural networks reading questions

1. What is? RNN？ What are the characteristics of ？

2. What are the application modes ？

3. What is? LSTM？ What improvements does it bring ？

4.LSTM Why are some doors used in sigmoid Some functions are used Tanh function ？

5. Why can the gating mechanism work？

6. In addition to stacking Recurrent Neural Networks , What other structure can increase the depth of the recurrent neural network ？（ Question 6 after class ）