Which activation function is most likely to be used in the output layer for a multi-class classification problem?
Question
Solution 1
The activation function most likely to be used in the output layer for a multi-class classification problem is the Softmax function.
Here's why:
The Softmax function is able to handle multiple classes, which is necessary for a multi-class classification problem.
The Softmax function outpu Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solv
Similar Questions
Which activation function is most likely to be used in the output layer for a multi-class classification problem?
Which activation function is most likely to be used in the output layer for a multi-class classification problem?Group of answer choicesSigmoidReLUSoftmaxTanh
Which activation function is often used in the output layer for multi-class classification problems?Review LaterSigmoidReLUSoftmaxTanh
The ______________ function is often used as an activation function in the output layer of a binary classification problem.
The function is used to convert logits into probabilities in a multi-class classification problem.