This repository contains a technical report on convolution arithmetic specifically in the context of deep learning. It provides visual animations demonstrating how convolutions work with different padding and stride configurations, including both standard and transposed convolutions. The content is tied to the arXiv paper by Dumoulin and Visin and serves as a reference guide for understanding the mathematical mechanics of convolution operations used in CNNs.