📚 Learning Guide
Log-sum-exp Function
easy

Arrange the steps for applying the log-sum-exp function in a multi-class classification problem.

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Learning Path
Learning Path

Question & Answer
1
Understand Question
2
Review Options
3
Learn Explanation
4
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Choose AnswerChoose the Best Answer

A

Calculate the exponentials of the input values → B. Sum the exponentials → C. Take the logarithm of the sum → D. Use the result to determine the class probabilities

B

Sum the exponentials → A. Calculate the exponentials of the input values → C. Take the logarithm of the sum → D. Use the result to determine the class probabilities

C

Take the logarithm of the sum → A. Calculate the exponentials of the input values → B. Sum the exponentials → D. Use the result to determine the class probabilities

D

Use the result to determine the class probabilities → A. Calculate the exponentials of the input values → B. Sum the exponentials → C. Take the logarithm of the sum

Understanding the Answer

Let's break down why this is correct

First, compute the exponentials of the input values to make all numbers positive. Other options are incorrect because This option adds exponentials before they are calculated, which is impossible; Taking the logarithm first skips the crucial step of turning numbers into positives.

Key Concepts

Log-sum-exp Function
Multi-Class Classification
Optimization Techniques
Topic

Log-sum-exp Function

Difficulty

easy level question

Cognitive Level

understand

Deep Dive: Log-sum-exp Function

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Definition
Definition

The log-sum-exp function is a convex and differentiable approximation to the max function, commonly used in optimization and machine learning algorithms. It provides a smooth representation of the maximum value among a set of numbers.

Topic Definition

The log-sum-exp function is a convex and differentiable approximation to the max function, commonly used in optimization and machine learning algorithms. It provides a smooth representation of the maximum value among a set of numbers.

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