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tata24/generative-model_pytorch
AE由编码器和解码器两部分组成,编码器将图像压缩至低维度的隐特征,解码器将隐特征重构为图像。AE的目标就是最小化输入与输出之间的重构误差,通常以MSE作为损失函数,其缺点是生成的图像容易出现模糊。由于AE将图像压缩为固定的编码,因此模型的仅能 ...
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