To avoid overfitting in a neural network model,the parameter estimates that are used minimize the least squares criterion.

Name: To avoid overfitting in a neural network model,the parameter estimates that are used minimize the least squares criterion.
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To avoid overfitting in a neural network model, techniques such as regularization, early stopping, and dropout are commonly used rather than just minimizing the least squares criterion.

To Avoid Overfitting in a Neural Network Model,the Parameter Estimates