73 - Image Segmentation using U-Net - Part1 (What is U-net)

Many deep learning architectures have been proposed to solve various image processing challenges. SOme of the well known architectures include LeNet, ALexNet, VGG, and Inception. U-net is a relatively new architecture proposed by Ronneberger et al. for semantic image segmentation. This video explains the U-Net architecture; a good understanding is essential before coding. Link to the original U-Net paper: The code from this video is available at: