Question: Consider the training error and test error observed as we train for a neural network using full ( i . e . , batch )

Consider the training error and test error observed as we train for a neural network using full (i.e., batch) gradient decent.
Is there overfitting with the trained model? If yes, list several possible causes of overfitting.
List several possible techniques that can help reduce overfitting.
Choose one of the possible techniques in 2. Draw the possible new curves for training error and test error, respectively, after applying this technique. Briefly explain why we may have the new curves

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