Parameter Vs. Hyperparameter

[!def] 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