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UNet-Segmentation-in-Keras-TensorFlow
UNet-Segmentation-in-Keras-TensorFlow PublicForked from nikhilroxtomar/UNet-Segmentation-in-Keras-TensorFlow
UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation…
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TensorFlow2.0-Examples
TensorFlow2.0-Examples PublicForked from YunYang1994/TensorFlow2.0-Examples
🙄 Difficult algorithm, simple code.
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AutoEncoder-SSIM-for-unsupervised-anomaly-detection-
AutoEncoder-SSIM-for-unsupervised-anomaly-detection- PublicForked from plutoyuxie/AutoEncoder-SSIM-for-unsupervised-anomaly-detection-
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
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DataScienceWithR
DataScienceWithR Publichow to analysis data with R, along with machine learning algorithm
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Multiclass-Segmentation-in-Unet
Multiclass-Segmentation-in-Unet PublicForked from nikhilroxtomar/Multiclass-Segmentation-in-Unet
Multiclass segmentation on the Oxford-IIIT Pet dataset using the U-Net dataset.
Python
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