https://d2l.ai/chapter_hyperparameter-optimization/hyperopt-intro.html
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There is no code to read for question 1
Hyperparameters are parameters that are set by you before training your model.
They are usually arbitrary and iterative in nature.
Examples:
- batch_size
- no_of_epochs
*learning rate e.t.c
I hope it helps.