U-Net Segmentation | Semantic Segmentation | UpSampling2D | Conv2DTranspose شرح عربي

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================ U-Net is a semantic segmentation technique originally proposed for medical imaging segmentation. It's one of the earlier deep learning segmentation models, and the U-Net architecture is also used in many GAN variants such as the Pix2Pix generator
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Code and Data
https://github.com/AhmedIbrahimai/U-N...
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Note
input function in the code the i letter will be capital letter
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