Artificial Intelligence Question

Extend/improve the code to do the following:

– Graph train/val loss and accuracy per epoch (two separate graphs). Use a legend to indicate which line is train and which is val.

– Make sure you do not cause overfitting (as indicated by your plots).

– Improve the accuracy so the error on the test dataset (as computed by sklearn, we’re not talking about loss here) is <17%.

– Show a confusion matrix of the prediction errors.

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