How hyper-parameters impact model training? (with MLS-C01 focus)
What are hyperparameters ? In simple terms, hyperparameters are a set of knobs you can tune before starting the learning process in machine learning. When set to a specific values, the model has a specific performance. When the hyperparameters are set to new values, the model gets new performance values. What is performance of a model? In any machine learning process, we want to optimize the objective-function: a fancy name for a function that evaluates model predictions v/s values provided during training....