What are the advantages of ReLU over sigmoid function in deep neural network?
The state of the art of non-linearity is to use ReLU instead of sigmoid function in deep neural network, what are the advantages? I know that training a network when ReLU is used would be faster, and
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相關文章
- 1. What are the advantages of GoDapp?
- 2. What are Huge Pages and the advantages of using them?
- 3. What is 「Neural Network」
- 4. What are some advantages of using Node.js over a Flask API?
- 5. Exploring the teaching of deep learning in neural networks
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- 10. What are some good books/papers for learning deep learning?