Deep Learning 面试题与答案
Question: What is the role of the activation function in a neural network's hidden layers?Answer: The activation function introduces non-linearity to the neural network, enabling it to learn complex patterns. Common activation functions include sigmoid, hyperbolic tangent (tanh), and rectified linear unit (ReLU). They allow the network to capture and model more intricate relationships in the data. |
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?