The question list is as follows:
- What is the difference between linear regression and neural networks?
- What is the use of the activation function?
- Why do we need to calculate the gradient in gradient descent?
- What is the advantage of an RNN?
- What are vanishing and exploding gradient problems?
- What are gates in LSTM?
- What is the use of the pooling layer?