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Web10. okt 2024. · The proposed CNN had 84.7% accuracy, compared to the score of 74.9% for the second-best method. The performance was subsequently improved by deeper models (like Inception, GoogleNet, VGG and etc.). The superior performance of CNNs on computer vision tasks can be attributed to their structure, tailored to image data. Web07. jul 2024. · U-Net使用的是带边界权值的损失函数：. 其中 是. softmax s o f t m a x. 损失函数， 是像素点的标签值， 是像素点的权值，目的是为了给图像中贴近边界点的像素更高 … busit 13

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