Add hyperparameter tuning to episode 3

[svenvanderburg]

Add explanation of hyperparamter tuning to episode 3

In this section: https://carpentries-incubator.github.io/deep-learning-intro/03-monitor-the-model/index.html#counteract-model-overfitting we are actually doing hyperparamter tuning (we are changing a hyperparameter). It is only a small extra step to do this within a for-loop.

• [ ] Add an infobox that discusses hyperparameter tuning in a for-loop see https://github.com/carpentries-incubator/deep-learning-intro/issues/351#issuecomment-1621589631
• [ ] Have a callout to explain grid search.

You can get inspiration from @qualiaMachine 's script here: https://colab.research.google.com/drive/1B_F5ik6P9hfbKT2pzfMgsvFeF99_Uy9V?usp=sharing

This issue resulted from discussions in #348

[svenvanderburg]

I just realized we already have something like this in the final exercise related to dropout: https://carpentries-incubator.github.io/deep-learning-intro/04-advanced-layer-types/index.html#vary-dropout-rate We can slightly build that out further by adding an infobox on grid search.