Deep Learning 面试题与答案
Question: What is the difference between a regression problem and a classification problem in machine learning?Answer: In a regression problem, the goal is to predict a continuous output, such as a numerical value. In a classification problem, the goal is to assign inputs to one of several predefined categories. Regression models predict quantities, while classification models assign labels. |
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?