Deep Learning 面试题与答案
Question: Explain the concept of weight initialization in neural networks and why it is important.Answer: Weight initialization is the process of setting initial values for the weights of a neural network. Proper weight initialization is crucial for preventing issues like vanishing or exploding gradients during training. Common methods include random initialization and Xavier/Glorot initialization. |
保存以便复习
收藏此条目、标记为困难题，或将其加入复习集合。
这有帮助吗？ 是 否
用户评价最有帮助的内容：
- Explain the purpose of an activation function in a neural network.
- What is transfer learning, and how is it used in deep learning?
- What is a convolutional neural network (CNN), and how is it different from a fully connected neural network?