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Which of the following is a common loss function used in neural networks for cla

Practice Questions

Q1
Which of the following is a common loss function used in neural networks for classification tasks?
  1. Mean Squared Error
  2. Cross-Entropy Loss
  3. Hinge Loss
  4. Log-Cosh Loss

Questions & Step-by-Step Solutions

Which of the following is a common loss function used in neural networks for classification tasks?
  • Step 1: Understand what a loss function is. A loss function measures how well a model's predictions match the actual outcomes.
  • Step 2: Know that in classification tasks, we want to predict categories or classes (like 'cat' or 'dog').
  • Step 3: Learn that Cross-Entropy Loss is a specific type of loss function used for these classification tasks.
  • Step 4: Realize that Cross-Entropy Loss calculates the difference between the predicted probabilities of classes and the actual classes.
  • Step 5: Conclude that because it effectively measures this difference, Cross-Entropy Loss is commonly used in neural networks for classification.
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