Method sample

unsupervised_class3/dcgan_tf.py:498–501

(self, n)

    plt.savefig('cost_vs_iteration.png')

  def sample(self, n):
    Z = np.random.uniform(-1, 1, size=(n, self.latent_dims))
    samples = self.sess.run(self.sample_images_test, feed_dict={self.Z: Z, self.batch_sz: n})
    return samples