In Artificial Neural Networks (ANNs), what does MSE stand for?
- Mean Squared Error
- Maximum System Efficiency
- Mean Statistical Evaluation
- Minimum Squared Estimate
Explanation
- MSE stands for Mean Squared Error
- It measures the average of the squared differences between actual and predicted values.
- It is used as a loss function to evaluate the performance of Artificial Neural Networks (ANNs).
- Lower MSE = smaller prediction errors.
Related MCQs
- Mean Squared Error
- Maximum System Efficiency
- Mean Statistical Evaluation
- Minimum Squared Estimate
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- Learning Language Module
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کلاؤڈ کمپیوٹنگ میں ساس کا کیا مطلب ہے؟
- System as a Solution
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- Cut Copy
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