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Last active December 30, 2015 09:07
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genadv_algo1
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gistfile1.py
for i in range(TRAIN_ITERS):
x= np.random.normal(mu,sigma,M) # sample minibatch from p_data
z= np.linspace(-5.0,5.0,M)+np.random.random(M)*0.01 # sample minibatch from noise prior
sess.run(opt_d, {x_node: x, z_node: z}) # update discriminator D
z= np.linspace(-5.0,5.0,M)+np.random.random(M)*0.01 # sample noise prior
sess.run(opt_g, {z_node: z}) # update generator G
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