The Dogs vs. Cats dataset is a standard computer vision dataset that involves classifying photos as either containing a dog or cat. The datasets can be downloaded from online websites with training data folder labeled as 'train' and testing data folder as 'test1'. The explanation for the CNN process can be found in the pdf file
vashiegaran/Pytorch-CNN-with-cats-and-dogs-
Classification of cats and dogs using Pytorch
Jupyter Notebook