Summary – Mean Square in Neural Network

Summary

  • MSE is used for regression problems in neural networks.
  • It calculates the average of squared differences between predicted and actual values.It is smooth, continuous, and differentiable — ideal for optimization.
  • The goal of training: minimize the MSE to improve predictions.

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