In this entry we repeat the procedure we just completed in part two on a Cat and Dog database, and we will add something else.

This is part two of the Object Oriented Dataset with Python and PyTorch blog series. For Part One, see here.

We defined the MyDataset class in Part One, now let's instantiate a MyDataset object.

A very common problem in Machine Learning is deciding how best to interface with data.

In this article we present an elegant method to interface with, organize, and then eventually transform the data (preprocessing). We will then cover how to properly feed the model during training procedures.