Yes, hyper-parameters are parameters about the parameters. Parameters we get to choose which control the parameters that the learning algorithm chooses. The ot

Yes, hyper-parameters are parameters about the parameters. Parameters we get to choose which control the parameters that the learning algorithm chooses. The other set of data the book called "arguments", which is the term they use to describe the data you are training on. That seems like an unnecessarily confusing term, and I haven't heard it anywhere else. I didn't learn anything truly new in all this, but it helped me sort my own thoughts to realize there is data, parameters, and hyperparameters. Data comes from the world and we cannot change it. Parameters are chosen by us indirectly through the learning algorithm, they are the most important outcome of successful learning. Hyperparameters are chosen by us directly and control the model and learning algorithm, and the resulting parameters.