introduction to machine learning and deep learning are the concepts of generalizing over unseen examplesoverfitting and underfitting the training datathe capacity of the modeland the notion of regularization readers are encouraged to try out the examples in the source code listings in the next we will explore pytorch as foundational framework to develop deep learning models