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View Code? Open in Web Editor NEWThis tutorial of GAN is Chinese translation of its English version which is created by MXNet group.
License: MIT License
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01_gan-intro_Introduction to GAN 中代码的解释
netD = nn.Sequential() with netD.name_scope(): netD.add(nn.Dense(5, activation='tanh')) netD.add(nn.Dense(3, activation='tanh')) netD.add(nn.Dense(2))
请问netD的输出为什么是两个?
是不是一个预测样本x来自真实数据的概率,一个预测样本x来自生成器的概率?
请问第二节中如何提高生产的人脸图片的效果？
请问运行原始网络，即使增加了迭代次数，生成的人脸图片效果也很差，请问怎么能提高生成的图片质量呢？
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