rkdls
diff --git a/‎04 - Autoencoder, GAN/03 - GAN#2.py‎ ‎04 - Autoencoder, GAN/03 - GAN2.py‎04 - Autoencoder, GAN/03 - GAN#2.py renamed to 04 - Autoencoder, GAN/03 - GAN2.py
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diff --git a/‎04 - Autoencoder, GAN/samples#2/000.png‎ ‎04 - Autoencoder, GAN/samples2/000.png‎04 - Autoencoder, GAN/samples#2/000.png renamed to 04 - Autoencoder, GAN/samples2/000.png b/‎04 - Autoencoder, GAN/samples#2/000.png‎ ‎04 - Autoencoder, GAN/samples2/000.png‎04 - Autoencoder, GAN/samples#2/000.png renamed to 04 - Autoencoder, GAN/samples2/000.png
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diff --git a/‎04 - Autoencoder, GAN/samples#2/070.png‎ ‎04 - Autoencoder, GAN/samples2/070.png‎04 - Autoencoder, GAN/samples#2/070.png renamed to 04 - Autoencoder, GAN/samples2/070.png b/‎04 - Autoencoder, GAN/samples#2/070.png‎ ‎04 - Autoencoder, GAN/samples2/070.png‎04 - Autoencoder, GAN/samples#2/070.png renamed to 04 - Autoencoder, GAN/samples2/070.png
diff --git a/‎04 - Autoencoder, GAN/samples#2/080.png‎ ‎04 - Autoencoder, GAN/samples2/080.png‎04 - Autoencoder, GAN/samples#2/080.png renamed to 04 - Autoencoder, GAN/samples2/080.png b/‎04 - Autoencoder, GAN/samples#2/080.png‎ ‎04 - Autoencoder, GAN/samples2/080.png‎04 - Autoencoder, GAN/samples#2/080.png renamed to 04 - Autoencoder, GAN/samples2/080.png
@@ -126,7 +126,7 @@ def discriminator(inputs, labels, reuse=None):
                 ax[0+(j*2)][i].imshow(np.reshape(mnist.validation.images[i+(j*n_class)], (28, 28)))
                 ax[1+(j*2)][i].imshow(np.reshape(samples[i+(j*n_class)], (28, 28)))
 
-        plt.savefig('samples#2/{}.png'.format(str(epoch).zfill(3)), bbox_inches='tight')
+        plt.savefig('samples2/{}.png'.format(str(epoch).zfill(3)), bbox_inches='tight')
         plt.close(fig)