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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: https://arxiv.org/abs/1505.04597

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

Видео 73 - Image Segmentation using U-Net - Part1 (What is U-net?) канала DigitalSreeni
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Информация о видео
3 декабря 2019 г. 16:00:01
00:18:13
Яндекс.Метрика