Question: 2 . Draw a figure to show trade - off of model complexity against training and test accuracy. In other words, show where generalization error

2 .

Draw a figure to show trade

-

off of model complexity against training and test accuracy. In other words, show where generalization error is minimum. Show the underfitting and overfitting regions.

3 .

Explain the concepts of back

-

propagation and gradient descent with relation to recurrent neural networks. What is a limitation of the gradient descent algorithm when applied to discrete problem spaces in optimization problems?

2 . Draw a figure to show trade - off of model

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