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Neural networks and deep learning Chapter 4: feedforward neural networks reading questions
2022-07-05 04:25:00 【Sleeping Raki】
1. What are the main characteristics of Neural Networks ?
2. Why have activation functions ? What are the characteristics of the activation function ?
3.logistic Functions and Tanh Similarities and differences of functions ?
4.ReLU Why can functions be widely used , What are the advantages and disadvantages of it ?
5. According to the general approximation theorem , Feedforward neural network can fit any function , What causes it to fail to achieve the desired effect ?
6. What is feature extraction
7. Let's deduce MLP Back propagation of
8. Why do gradients disappear and explode ? How to reduce ?
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