Difference between a parameter and a weight?

Is there any pedantic difference between referring to a specific "parameter" of a model as $$\theta_1$$ or referring to a specific "weight" of that model as $$w_1$$?

Are they always the exact same thing?

• In the case of neural networks, the weights are the model's parameters, indeed. In other types of models, those are simply named parameters, the word weight is restricted to a few cases, mainly neural networks. I initially thought that you were talking about hyper-parameters because of the notation: $\theta$ is the usual name given to the hyper-parameters vector. Nov 25 '19 at 18:59