In-sample accuracy compared to out-of-sample accuracy is a fundamental concept in deep learning, and understanding the distinction between these two metrics is of central importance for building, evaluating, and deploying neural network models using Python and PyTorch. This topic directly relates to the core objective of machine learning and deep learning: to develop models that