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a guest Jul 17th, 2017 40 Never
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  1. # Train the discriminator
  2. d_trainer_fake = tf.train.AdamOptimizer(0.0003).minimize(d_loss_fake, var_list=d_vars)
  3. d_trainer_real = tf.train.AdamOptimizer(0.0003).minimize(d_loss_real, var_list=d_vars)
  4.  
  5. # Train the generator
  6. g_trainer = tf.train.AdamOptimizer(0.0001).minimize(g_loss, var_list=g_vars)
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