GAN网络(Generative Adversarial Nets)

1.思想

2.算法

3.loss函数的代码实现

# get loss for discriminator
d_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=D_real, labels=tf.ones_like(D_real)))
d_loss_fake = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=D_fake, labels=tf.zeros_like(D_fake)))
self.d_loss = d_loss_real + d_loss_fake

# get loss for generator
self.g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=D_fake, labels=tf.ones_like(D_fake)))

tf.nn.sigmoid_cross_entropy_with_logits的原理解释：

生成对抗（GAN）网络学习汇总list: https://blog.csdn.net/yunyi4367/article/details/80489962