Parameter vs. Hyperparameter
Parameter vs. Hyperparameter
- Parameter is the values or weights learned by models
- Learned by training
- I.E. Model weight, bias
- Hyperparameter are the values that is used to tune models
- I.E. number of layers, nodes
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