Chapter Assessment: Just Enough Machine Learning

This assessment covers how loss and gradient descent train a model, how neurons and layers turn inputs into a score, why training and inference cost so differently, and why a model outputs a list of probabilities. Each attempt draws 10 of 20 questions. After you answer, read the explanation for every option.