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Explore 73 - Image Segmentation using U-Net - Part1 (What is U-net?) with 448,196 views, 5,728 likes, and 203 comments. Experience the impact of this video content that has captured audience attention.

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: https://arxiv.org/abs/1505.04597 The code from this video is available at: https://github.com/bnsreenu/python_for_microscopists

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