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Chai Biscuit
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| credit:Medium |
What is Hyper Parameter tuning?
Hyperparameter tuning is searching the hyperparameter space for a set of values that will optimize your model architecture
How to Determine HyperParameters?
Hyperparameter tuning is tricky as there is no direct way to calculate how a change in the hyperparameter value will reduce the loss of your model, so we usually resort to experimentation
Step:1
Define range of possible values for all the hyperparameters.
To Determine range first understand what these hyperparameters mean and how changing a hyperparameter will affect your model architecture, thereby try to understand how your model performance might change.
Step: 2
Apply GridSearch(common and expensive) ,or smarter and less expensive methods like Random Search and Bayesian Optimization to determine the Parameters.
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