I am a newbie to Tensorflow and trying to implement a Generative Adversarial Network. I am following this tutorial for the same in which we are trying to generate MNIST dataset
Please modify your code as following,
with tf.variable_scope(tf.get_variable_scope(),reuse=False): trainerD = tf.train.AdamOptimizer().minimize(d_loss, var_list=d_vars) trainerG = tf.train.AdamOptimizer().minimize(g_loss, var_list=g_vars)
with tf.variable_scope(tf.get_variable_scope(),reuse=False):
trainerD = tf.train.AdamOptimizer().minimize(d_loss, var_list=d_vars) trainerG = tf.train.AdamOptimizer().minimize(g_loss, var_list=g_vars)