Question: what are hyper parameters in machine learning?
Answer: In machine learning, a hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are derived via training. ... Given these hyperparameters, the training algorithm learns the parameters from the data.