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Experimenting with model structures

You've just run an experiment where you compared two networks that were identical except that the 2nd network had an extra hidden layer. You see that this 2nd network (the deeper network) had better performance. Given that, which of the following would be a good experiment to run next for even better performance?

This exercise is part of the course

Introduction to Deep Learning in Python

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