1) In machine learning, hyperparameter is the parameters that determine and control the complete trainng process.
2)The examples of these parameters are Learning rate, Hidden Layers, Hidden units, Activation functions, etc.
3)These parameters are external from the model. The selection of good hyperparameters makes a better algorithm.
