U-Net: A PyTorch Implementation in 60 lines of Code

Today's blog post is going to be short and sweet. Today, we will be looking at how to implement the U-Net architecture in PyTorch in 60 lines of code. This blog is not an introduction to Image Segmentation or theoretical explanation of the U-Net architecture, for that, I would like to refer the reader to this wonderful article by Harshall Lamba. Rather, this blog post is a step-by-step explaination of how to implement U-Net from scratch in PyTorch. In this blogpost - first, we will understand the U-Net architecture - specifically, the input and output shapes of each block.