Difference Between Sigmoid and Softmax functions?

Difference Between Sigmoid and Softmax functions?

题目类型: 技术面试题

这是一道技术面试题，常见于澳洲IT公司面试中。

难度: easy

标签: interviewbit, machine-learning, topic-specific, ai

参考答案摘要

The sigmoid function is used for binary classification. The probabilities sum needs to be 1. Whereas, Softmax function is used for multi-classification. The probabilities sum will be 1. Conclusion The...

本题提供 STAR 原则详细解答和技术解析，登录匠人学院学习中心即可查看完整答案。