Understanding the Difference: Hyperparameters vs Parameters
When it comes to training a machine learning model, there are two types of variables that play a crucial role in its performance: hyperparameters and parameters. Understanding the difference between these two is essential for optimizing the model and avoiding common pitfalls like underfitting or overfitting. Parameters, also known as weights, are the variables that ...
