利用GAN生成MNIST-demo
阿新 • • 發佈:2019-01-22
Epoch 1/300... Discriminator Loss: 0.0147(Real: 0.0034 + Fake: 0.0113)... Generator Loss: 4.4756 Epoch 2/300... Discriminator Loss: 0.8369(Real: 0.6440 + Fake: 0.1929)... Generator Loss: 3.4612 Epoch 3/300... Discriminator Loss: 2.4569(Real: 0.4378 + Fake: 2.0190)... Generator Loss: 1.3602 Epoch 4/300... Discriminator Loss: 2.4824(Real: 1.3145 + Fake: 1.1679)... Generator Loss: 1.1058 Epoch 5/300... Discriminator Loss: 1.1215(Real: 0.5974 + Fake: 0.5241)... Generator Loss: 1.4620 Epoch 6/300... Discriminator Loss: 1.3360(Real: 0.4221 + Fake: 0.9139)... Generator Loss: 1.8638 Epoch 7/300... Discriminator Loss: 1.9859(Real: 0.9288 + Fake: 1.0571)... Generator Loss: 0.7663 Epoch 8/300... Discriminator Loss: 1.5311(Real: 0.9538 + Fake: 0.5773)... Generator Loss: 1.1415 Epoch 9/300... Discriminator Loss: 1.3389(Real: 0.7155 + Fake: 0.6235)... Generator Loss: 1.2668 Epoch 10/300... Discriminator Loss: 1.2760(Real: 0.6481 + Fake: 0.6279)... Generator Loss: 1.3282 Epoch 11/300... Discriminator Loss: 0.8972(Real: 0.5581 + Fake: 0.3392)... Generator Loss: 1.4769 Epoch 12/300... Discriminator Loss: 0.6853(Real: 0.3168 + Fake: 0.3685)... Generator Loss: 2.1966 Epoch 13/300... Discriminator Loss: 0.5786(Real: 0.3293 + Fake: 0.2494)... Generator Loss: 2.4398 Epoch 14/300... Discriminator Loss: 0.8380(Real: 0.5881 + Fake: 0.2499)... Generator Loss: 3.6519 Epoch 15/300... Discriminator Loss: 0.6331(Real: 0.4399 + Fake: 0.1932)... Generator Loss: 3.0437 Epoch 16/300... Discriminator Loss: 0.6575(Real: 0.3006 + Fake: 0.3568)... Generator Loss: 1.6023 Epoch 17/300... Discriminator Loss: 0.6805(Real: 0.4399 + Fake: 0.2406)... Generator Loss: 2.5174 Epoch 18/300... Discriminator Loss: 1.0586(Real: 0.5129 + Fake: 0.5457)... Generator Loss: 1.2804 Epoch 19/300... Discriminator Loss: 0.8614(Real: 0.7153 + Fake: 0.1461)... Generator Loss: 3.2152 Epoch 20/300... Discriminator Loss: 1.2375(Real: 0.6200 + Fake: 0.6175)... Generator Loss: 1.1561 Epoch 21/300... Discriminator Loss: 1.3308(Real: 0.4849 + Fake: 0.8459)... Generator Loss: 1.6262 Epoch 22/300... Discriminator Loss: 0.8637(Real: 0.4784 + Fake: 0.3852)... Generator Loss: 1.7631 Epoch 23/300... Discriminator Loss: 0.8955(Real: 0.4214 + Fake: 0.4740)... Generator Loss: 2.0115 Epoch 24/300... Discriminator Loss: 1.3857(Real: 0.7137 + Fake: 0.6721)... Generator Loss: 1.3904 Epoch 25/300... Discriminator Loss: 0.7818(Real: 0.4276 + Fake: 0.3542)... Generator Loss: 1.7709 Epoch 26/300... Discriminator Loss: 1.0178(Real: 0.7770 + Fake: 0.2408)... Generator Loss: 2.3353 Epoch 27/300... Discriminator Loss: 1.1127(Real: 0.6966 + Fake: 0.4161)... Generator Loss: 1.7987 Epoch 28/300... Discriminator Loss: 0.9199(Real: 0.6320 + Fake: 0.2879)... Generator Loss: 2.0870 Epoch 29/300... Discriminator Loss: 0.9889(Real: 0.4128 + Fake: 0.5761)... Generator Loss: 1.2318 Epoch 30/300... Discriminator Loss: 0.9835(Real: 0.6739 + Fake: 0.3096)... Generator Loss: 1.9868 Epoch 31/300... Discriminator Loss: 1.0075(Real: 0.5533 + Fake: 0.4543)... Generator Loss: 1.5374 Epoch 32/300... Discriminator Loss: 0.7927(Real: 0.4214 + Fake: 0.3713)... Generator Loss: 1.7201 Epoch 33/300... Discriminator Loss: 0.5752(Real: 0.2431 + Fake: 0.3321)... Generator Loss: 1.8330 Epoch 34/300... Discriminator Loss: 0.9497(Real: 0.3830 + Fake: 0.5666)... Generator Loss: 1.3846 Epoch 35/300... Discriminator Loss: 1.1898(Real: 0.6794 + Fake: 0.5104)... Generator Loss: 1.3661 Epoch 36/300... Discriminator Loss: 0.8393(Real: 0.5443 + Fake: 0.2950)... Generator Loss: 2.2720 Epoch 37/300... Discriminator Loss: 0.9101(Real: 0.4874 + Fake: 0.4227)... Generator Loss: 1.5690 Epoch 38/300... Discriminator Loss: 0.8703(Real: 0.5639 + Fake: 0.3064)... Generator Loss: 1.9145 Epoch 39/300... Discriminator Loss: 1.0917(Real: 0.7483 + Fake: 0.3434)... Generator Loss: 1.8346 Epoch 40/300... Discriminator Loss: 1.0685(Real: 0.5225 + Fake: 0.5460)... Generator Loss: 1.1778 Epoch 41/300... Discriminator Loss: 0.9846(Real: 0.4480 + Fake: 0.5365)... Generator Loss: 1.4012 Epoch 42/300... Discriminator Loss: 0.6707(Real: 0.3300 + Fake: 0.3406)... Generator Loss: 1.6269 Epoch 43/300... Discriminator Loss: 0.8931(Real: 0.4544 + Fake: 0.4387)... Generator Loss: 1.4853 Epoch 44/300... Discriminator Loss: 0.8483(Real: 0.4995 + Fake: 0.3488)... Generator Loss: 1.7784 Epoch 45/300... Discriminator Loss: 1.0488(Real: 0.4973 + Fake: 0.5515)... Generator Loss: 1.3255 Epoch 46/300... Discriminator Loss: 0.7326(Real: 0.2778 + Fake: 0.4548)... Generator Loss: 1.3374 Epoch 47/300... Discriminator Loss: 0.7314(Real: 0.4215 + Fake: 0.3099)... Generator Loss: 1.8939 Epoch 48/300... Discriminator Loss: 0.8447(Real: 0.4863 + Fake: 0.3584)... Generator Loss: 1.5622 Epoch 49/300... Discriminator Loss: 0.7643(Real: 0.4007 + Fake: 0.3636)... Generator Loss: 1.3912 Epoch 50/300... Discriminator Loss: 1.3260(Real: 1.0035 + Fake: 0.3225)... Generator Loss: 1.8303 Epoch 51/300... Discriminator Loss: 0.9762(Real: 0.5887 + Fake: 0.3876)... Generator Loss: 1.6349 Epoch 52/300... Discriminator Loss: 0.9041(Real: 0.4692 + Fake: 0.4349)... Generator Loss: 1.6441 Epoch 53/300... Discriminator Loss: 1.2420(Real: 0.7834 + Fake: 0.4585)... Generator Loss: 1.3940 Epoch 54/300... Discriminator Loss: 0.8505(Real: 0.5459 + Fake: 0.3046)... Generator Loss: 1.7683 Epoch 55/300... Discriminator Loss: 0.8280(Real: 0.3547 + Fake: 0.4733)... Generator Loss: 1.5544 Epoch 56/300... Discriminator Loss: 1.1979(Real: 0.6791 + Fake: 0.5188)... Generator Loss: 1.3144 Epoch 57/300... Discriminator Loss: 0.9121(Real: 0.4599 + Fake: 0.4522)... Generator Loss: 1.3161 Epoch 58/300... Discriminator Loss: 0.9336(Real: 0.4632 + Fake: 0.4704)... Generator Loss: 1.3045 Epoch 59/300... Discriminator Loss: 0.8480(Real: 0.4361 + Fake: 0.4119)... Generator Loss: 1.5340 Epoch 60/300... Discriminator Loss: 1.0266(Real: 0.5291 + Fake: 0.4974)... Generator Loss: 1.3691 Epoch 61/300... Discriminator Loss: 0.8346(Real: 0.4544 + Fake: 0.3802)... Generator Loss: 1.5114 Epoch 62/300... Discriminator Loss: 1.0323(Real: 0.4612 + Fake: 0.5711)... Generator Loss: 1.1582 Epoch 63/300... Discriminator Loss: 0.8509(Real: 0.2894 + Fake: 0.5615)... Generator Loss: 1.1399 Epoch 64/300... Discriminator Loss: 0.9109(Real: 0.2956 + Fake: 0.6153)... Generator Loss: 1.1548 Epoch 65/300... Discriminator Loss: 0.9753(Real: 0.3693 + Fake: 0.6060)... Generator Loss: 1.1795 Epoch 66/300... Discriminator Loss: 0.8657(Real: 0.5278 + Fake: 0.3379)... Generator Loss: 1.7071 Epoch 67/300... Discriminator Loss: 1.0653(Real: 0.5136 + Fake: 0.5517)... Generator Loss: 1.3014 Epoch 68/300... Discriminator Loss: 0.8507(Real: 0.5265 + Fake: 0.3243)... Generator Loss: 1.6583 Epoch 69/300... Discriminator Loss: 0.7503(Real: 0.3371 + Fake: 0.4131)... Generator Loss: 1.5704 Epoch 70/300... Discriminator Loss: 0.7904(Real: 0.4176 + Fake: 0.3727)... Generator Loss: 1.4692 Epoch 71/300... Discriminator Loss: 1.1162(Real: 0.6322 + Fake: 0.4840)... Generator Loss: 1.3120 Epoch 72/300... Discriminator Loss: 0.9021(Real: 0.5795 + Fake: 0.3226)... Generator Loss: 1.6635 Epoch 73/300... Discriminator Loss: 0.9043(Real: 0.5528 + Fake: 0.3515)... Generator Loss: 1.5282 Epoch 74/300... Discriminator Loss: 0.9391(Real: 0.4916 + Fake: 0.4475)... Generator Loss: 1.3946 Epoch 75/300... Discriminator Loss: 0.8306(Real: 0.4794 + Fake: 0.3511)... Generator Loss: 1.6506 Epoch 76/300... Discriminator Loss: 0.7904(Real: 0.3060 + Fake: 0.4844)... Generator Loss: 1.3785 Epoch 77/300... Discriminator Loss: 0.6161(Real: 0.3153 + Fake: 0.3008)... Generator Loss: 1.7631 Epoch 78/300... Discriminator Loss: 0.9961(Real: 0.5445 + Fake: 0.4516)... Generator Loss: 1.4244 Epoch 79/300... Discriminator Loss: 0.8625(Real: 0.5364 + Fake: 0.3261)... Generator Loss: 1.7045 Epoch 80/300... Discriminator Loss: 0.8928(Real: 0.3286 + Fake: 0.5642)... Generator Loss: 1.1575 Epoch 81/300... Discriminator Loss: 1.0176(Real: 0.6541 + Fake: 0.3634)... Generator Loss: 1.6936 Epoch 82/300... Discriminator Loss: 1.0375(Real: 0.5627 + Fake: 0.4748)... Generator Loss: 1.5395 Epoch 83/300... Discriminator Loss: 0.9439(Real: 0.4094 + Fake: 0.5345)... Generator Loss: 1.4580 Epoch 84/300... Discriminator Loss: 0.9203(Real: 0.7385 + Fake: 0.1818)... Generator Loss: 2.1272 Epoch 85/300... Discriminator Loss: 1.0811(Real: 0.6899 + Fake: 0.3912)... Generator Loss: 1.6038 Epoch 86/300... Discriminator Loss: 0.9234(Real: 0.4536 + Fake: 0.4698)... Generator Loss: 1.3710 Epoch 87/300... Discriminator Loss: 0.9945(Real: 0.5712 + Fake: 0.4233)... Generator Loss: 1.4238 Epoch 88/300... Discriminator Loss: 0.7846(Real: 0.4756 + Fake: 0.3089)... Generator Loss: 1.7352 Epoch 89/300... Discriminator Loss: 0.9526(Real: 0.4870 + Fake: 0.4656)... Generator Loss: 1.4887 Epoch 90/300... Discriminator Loss: 0.8098(Real: 0.3959 + Fake: 0.4139)... Generator Loss: 1.5757 Epoch 91/300... Discriminator Loss: 0.9942(Real: 0.6573 + Fake: 0.3369)... Generator Loss: 1.8370 Epoch 92/300... Discriminator Loss: 0.9474(Real: 0.5687 + Fake: 0.3787)... Generator Loss: 1.4353 Epoch 93/300... Discriminator Loss: 0.9888(Real: 0.5436 + Fake: 0.4452)... Generator Loss: 1.3798 Epoch 94/300... Discriminator Loss: 0.7007(Real: 0.4118 + Fake: 0.2888)... Generator Loss: 1.7029 Epoch 95/300... Discriminator Loss: 0.8426(Real: 0.3879 + Fake: 0.4547)... Generator Loss: 1.5108 Epoch 96/300... Discriminator Loss: 0.7522(Real: 0.4859 + Fake: 0.2664)... Generator Loss: 1.7721 Epoch 97/300... Discriminator Loss: 0.8283(Real: 0.4042 + Fake: 0.4241)... Generator Loss: 1.4884 Epoch 98/300... Discriminator Loss: 1.0526(Real: 0.5964 + Fake: 0.4563)... Generator Loss: 1.4419 Epoch 99/300... Discriminator Loss: 0.9079(Real: 0.4496 + Fake: 0.4583)... Generator Loss: 1.3825 Epoch 100/300... Discriminator Loss: 0.8061(Real: 0.4061 + Fake: 0.4000)... Generator Loss: 1.4092 Epoch 101/300... Discriminator Loss: 0.8450(Real: 0.5744 + Fake: 0.2705)... Generator Loss: 1.9265 Epoch 102/300... Discriminator Loss: 1.1218(Real: 0.3641 + Fake: 0.7578)... Generator Loss: 0.9032 Epoch 103/300... Discriminator Loss: 0.9129(Real: 0.5043 + Fake: 0.4086)... Generator Loss: 1.5144 Epoch 104/300... Discriminator Loss: 0.9630(Real: 0.4273 + Fake: 0.5357)... Generator Loss: 1.2290 Epoch 105/300... Discriminator Loss: 0.8951(Real: 0.5567 + Fake: 0.3385)... Generator Loss: 1.6709 Epoch 106/300... Discriminator Loss: 0.8169(Real: 0.4729 + Fake: 0.3439)... Generator Loss: 1.4832 Epoch 107/300... Discriminator Loss: 0.9736(Real: 0.4665 + Fake: 0.5071)... Generator Loss: 1.1462 Epoch 108/300... Discriminator Loss: 1.0189(Real: 0.4600 + Fake: 0.5588)... Generator Loss: 1.3325 Epoch 109/300... Discriminator Loss: 0.9235(Real: 0.5243 + Fake: 0.3992)... Generator Loss: 1.5370 Epoch 110/300... Discriminator Loss: 1.0224(Real: 0.4450 + Fake: 0.5774)... Generator Loss: 1.0703 Epoch 111/300... Discriminator Loss: 1.0100(Real: 0.3560 + Fake: 0.6541)... Generator Loss: 1.0149 Epoch 112/300... Discriminator Loss: 1.1628(Real: 0.6662 + Fake: 0.4966)... Generator Loss: 1.3035 Epoch 113/300... Discriminator Loss: 0.7378(Real: 0.3179 + Fake: 0.4199)... Generator Loss: 1.3908 Epoch 114/300... Discriminator Loss: 1.0237(Real: 0.5013 + Fake: 0.5225)... Generator Loss: 1.2938 Epoch 115/300... Discriminator Loss: 0.9034(Real: 0.5591 + Fake: 0.3444)... Generator Loss: 1.6453 Epoch 116/300... Discriminator Loss: 1.1119(Real: 0.5408 + Fake: 0.5711)... Generator Loss: 1.1376 Epoch 117/300... Discriminator Loss: 0.8655(Real: 0.3684 + Fake: 0.4971)... Generator Loss: 1.1885 Epoch 118/300... Discriminator Loss: 0.7962(Real: 0.3681 + Fake: 0.4281)... Generator Loss: 1.2890 Epoch 119/300... Discriminator Loss: 0.7480(Real: 0.3682 + Fake: 0.3798)... Generator Loss: 1.4283 Epoch 120/300... Discriminator Loss: 0.7997(Real: 0.3735 + Fake: 0.4261)... Generator Loss: 1.5357 Epoch 121/300... Discriminator Loss: 1.0107(Real: 0.4194 + Fake: 0.5914)... Generator Loss: 1.1734 Epoch 122/300... Discriminator Loss: 0.8666(Real: 0.5011 + Fake: 0.3655)... Generator Loss: 1.5522 Epoch 123/300... Discriminator Loss: 0.7934(Real: 0.5092 + Fake: 0.2842)... Generator Loss: 1.7277 Epoch 124/300... Discriminator Loss: 0.7828(Real: 0.4212 + Fake: 0.3616)... Generator Loss: 1.5717 Epoch 125/300... Discriminator Loss: 0.9791(Real: 0.4210 + Fake: 0.5581)... Generator Loss: 1.1748 Epoch 126/300... Discriminator Loss: 0.9125(Real: 0.5014 + Fake: 0.4111)... Generator Loss: 1.3949 Epoch 127/300... Discriminator Loss: 0.8126(Real: 0.4666 + Fake: 0.3459)... Generator Loss: 1.7280 Epoch 128/300... Discriminator Loss: 1.0689(Real: 0.5243 + Fake: 0.5445)... Generator Loss: 1.1941 Epoch 129/300... Discriminator Loss: 1.1615(Real: 0.6485 + Fake: 0.5130)... Generator Loss: 1.3602 Epoch 130/300... Discriminator Loss: 0.9057(Real: 0.4965 + Fake: 0.4092)... Generator Loss: 1.4819 Epoch 131/300... Discriminator Loss: 0.8213(Real: 0.4858 + Fake: 0.3355)... Generator Loss: 1.7211 Epoch 132/300... Discriminator Loss: 1.0234(Real: 0.5754 + Fake: 0.4480)... Generator Loss: 1.2585 Epoch 133/300... Discriminator Loss: 0.8209(Real: 0.3793 + Fake: 0.4416)... Generator Loss: 1.4212 Epoch 134/300... Discriminator Loss: 0.6893(Real: 0.3626 + Fake: 0.3267)... Generator Loss: 1.6297 Epoch 135/300... Discriminator Loss: 0.9245(Real: 0.6849 + Fake: 0.2396)... Generator Loss: 2.0108 Epoch 136/300... Discriminator Loss: 0.6725(Real: 0.3482 + Fake: 0.3244)... Generator Loss: 1.7042 Epoch 137/300... Discriminator Loss: 0.8655(Real: 0.4145 + Fake: 0.4510)... Generator Loss: 1.4157 Epoch 138/300... Discriminator Loss: 0.8901(Real: 0.5177 + Fake: 0.3724)... Generator Loss: 1.6711 Epoch 139/300... Discriminator Loss: 1.0480(Real: 0.5797 + Fake: 0.4682)... Generator Loss: 1.3443 Epoch 140/300... Discriminator Loss: 0.8944(Real: 0.4700 + Fake: 0.4244)... Generator Loss: 1.5379 Epoch 141/300... Discriminator Loss: 0.9566(Real: 0.5850 + Fake: 0.3716)... Generator Loss: 1.5527 Epoch 142/300... Discriminator Loss: 0.8663(Real: 0.3367 + Fake: 0.5297)... Generator Loss: 1.3003 Epoch 143/300... Discriminator Loss: 0.8725(Real: 0.5484 + Fake: 0.3241)... Generator Loss: 1.7062 Epoch 144/300... Discriminator Loss: 0.8560(Real: 0.4725 + Fake: 0.3834)... Generator Loss: 1.4547 Epoch 145/300... Discriminator Loss: 1.0793(Real: 0.5283 + Fake: 0.5510)... Generator Loss: 1.2855 Epoch 146/300... Discriminator Loss: 0.9373(Real: 0.3916 + Fake: 0.5457)... Generator Loss: 1.1826 Epoch 147/300... Discriminator Loss: 0.9873(Real: 0.5622 + Fake: 0.4251)... Generator Loss: 1.4878 Epoch 148/300... Discriminator Loss: 0.9424(Real: 0.5569 + Fake: 0.3855)... Generator Loss: 1.5401 Epoch 149/300... Discriminator Loss: 0.8654(Real: 0.3697 + Fake: 0.4957)... Generator Loss: 1.3275 Epoch 150/300... Discriminator Loss: 1.0871(Real: 0.4403 + Fake: 0.6468)... Generator Loss: 1.1926 Epoch 151/300... Discriminator Loss: 0.9018(Real: 0.4799 + Fake: 0.4219)... Generator Loss: 1.3694 Epoch 152/300... Discriminator Loss: 0.9692(Real: 0.4320 + Fake: 0.5372)... Generator Loss: 1.2124 Epoch 153/300... Discriminator Loss: 0.9614(Real: 0.3599 + Fake: 0.6015)... Generator Loss: 1.1001 Epoch 154/300... Discriminator Loss: 1.0982(Real: 0.5265 + Fake: 0.5718)... Generator Loss: 1.1546 Epoch 155/300... Discriminator Loss: 0.8889(Real: 0.5162 + Fake: 0.3727)... Generator Loss: 1.5126 Epoch 156/300... Discriminator Loss: 0.8909(Real: 0.5263 + Fake: 0.3646)... Generator Loss: 1.4998 Epoch 157/300... Discriminator Loss: 0.8749(Real: 0.6209 + Fake: 0.2539)... Generator Loss: 1.8442 Epoch 158/300... Discriminator Loss: 0.7768(Real: 0.3786 + Fake: 0.3982)... Generator Loss: 1.4546 Epoch 159/300... Discriminator Loss: 0.7586(Real: 0.3465 + Fake: 0.4121)... Generator Loss: 1.5931 Epoch 160/300... Discriminator Loss: 0.8351(Real: 0.3710 + Fake: 0.4640)... Generator Loss: 1.2646 Epoch 161/300... Discriminator Loss: 1.0154(Real: 0.6442 + Fake: 0.3712)... Generator Loss: 1.5601 Epoch 162/300... Discriminator Loss: 0.9415(Real: 0.5933 + Fake: 0.3482)... Generator Loss: 1.6519 Epoch 163/300... Discriminator Loss: 0.9618(Real: 0.4528 + Fake: 0.5090)... Generator Loss: 1.2630 Epoch 164/300... Discriminator Loss: 0.9518(Real: 0.2994 + Fake: 0.6525)... Generator Loss: 1.1173 Epoch 165/300... Discriminator Loss: 0.8301(Real: 0.4541 + Fake: 0.3760)... Generator Loss: 1.5573 Epoch 166/300... Discriminator Loss: 0.9466(Real: 0.4519 + Fake: 0.4946)... Generator Loss: 1.4819 Epoch 167/300... Discriminator Loss: 0.8274(Real: 0.3694 + Fake: 0.4580)... Generator Loss: 1.3429 Epoch 168/300... Discriminator Loss: 0.9853(Real: 0.5106 + Fake: 0.4747)... Generator Loss: 1.4209 Epoch 169/300... Discriminator Loss: 0.9618(Real: 0.3689 + Fake: 0.5929)... Generator Loss: 1.2440 Epoch 170/300... Discriminator Loss: 0.9844(Real: 0.5754 + Fake: 0.4090)... Generator Loss: 1.5392 Epoch 171/300... Discriminator Loss: 0.6993(Real: 0.3185 + Fake: 0.3808)... Generator Loss: 1.5545 Epoch 172/300... Discriminator Loss: 0.8414(Real: 0.4936 + Fake: 0.3478)... Generator Loss: 1.6494 Epoch 173/300... Discriminator Loss: 0.9784(Real: 0.4904 + Fake: 0.4880)... Generator Loss: 1.4030 Epoch 174/300... Discriminator Loss: 0.9865(Real: 0.5229 + Fake: 0.4636)... Generator Loss: 1.4455 Epoch 175/300... Discriminator Loss: 0.8637(Real: 0.5582 + Fake: 0.3055)... Generator Loss: 1.5649 Epoch 176/300... Discriminator Loss: 1.0320(Real: 0.6779 + Fake: 0.3541)... Generator Loss: 1.5035 Epoch 177/300... Discriminator Loss: 0.8697(Real: 0.4183 + Fake: 0.4514)... Generator Loss: 1.3782 Epoch 178/300... Discriminator Loss: 0.7710(Real: 0.3223 + Fake: 0.4487)... Generator Loss: 1.3210 Epoch 179/300... Discriminator Loss: 0.8492(Real: 0.5356 + Fake: 0.3136)... Generator Loss: 1.7507 Epoch 180/300... Discriminator Loss: 0.9469(Real: 0.4594 + Fake: 0.4875)... Generator Loss: 1.1836 Epoch 181/300... Discriminator Loss: 0.8575(Real: 0.4496 + Fake: 0.4079)... Generator Loss: 1.4746 Epoch 182/300... Discriminator Loss: 1.0618(Real: 0.4692 + Fake: 0.5926)... Generator Loss: 1.1557 Epoch 183/300... Discriminator Loss: 0.8216(Real: 0.3261 + Fake: 0.4955)... Generator Loss: 1.3422 Epoch 184/300... Discriminator Loss: 0.9537(Real: 0.5345 + Fake: 0.4192)... Generator Loss: 1.5990 Epoch 185/300... Discriminator Loss: 0.8119(Real: 0.4413 + Fake: 0.3706)... Generator Loss: 1.5930 Epoch 186/300... Discriminator Loss: 0.8742(Real: 0.4673 + Fake: 0.4069)... Generator Loss: 1.6491 Epoch 187/300... Discriminator Loss: 0.8450(Real: 0.4831 + Fake: 0.3620)... Generator Loss: 1.5983 Epoch 188/300... Discriminator Loss: 0.9717(Real: 0.6517 + Fake: 0.3200)... Generator Loss: 1.7039 Epoch 189/300... Discriminator Loss: 0.9521(Real: 0.4952 + Fake: 0.4569)... Generator Loss: 1.3804 Epoch 190/300... Discriminator Loss: 0.8205(Real: 0.3443 + Fake: 0.4762)... Generator Loss: 1.3980 Epoch 191/300... Discriminator Loss: 0.8974(Real: 0.4314 + Fake: 0.4661)... Generator Loss: 1.4135 Epoch 192/300... Discriminator Loss: 1.0076(Real: 0.6454 + Fake: 0.3622)... Generator Loss: 1.5326 Epoch 193/300... Discriminator Loss: 0.8138(Real: 0.3430 + Fake: 0.4707)... Generator Loss: 1.4344 Epoch 194/300... Discriminator Loss: 1.1010(Real: 0.7091 + Fake: 0.3919)... Generator Loss: 1.6079 Epoch 195/300... Discriminator Loss: 0.7605(Real: 0.3204 + Fake: 0.4401)... Generator Loss: 1.4803 Epoch 196/300... Discriminator Loss: 0.8153(Real: 0.4793 + Fake: 0.3360)... Generator Loss: 1.7299 Epoch 197/300... Discriminator Loss: 0.9441(Real: 0.4927 + Fake: 0.4514)... Generator Loss: 1.4858 Epoch 198/300... Discriminator Loss: 1.0428(Real: 0.6532 + Fake: 0.3896)... Generator Loss: 1.5493 Epoch 199/300... Discriminator Loss: 0.9011(Real: 0.3400 + Fake: 0.5611)... Generator Loss: 1.2646 Epoch 200/300... Discriminator Loss: 0.9515(Real: 0.4342 + Fake: 0.5173)... Generator Loss: 1.3028 Epoch 201/300... Discriminator Loss: 1.1137(Real: 0.7594 + Fake: 0.3543)... Generator Loss: 1.6397 Epoch 202/300... Discriminator Loss: 0.8197(Real: 0.4410 + Fake: 0.3787)... Generator Loss: 1.4732 Epoch 203/300... Discriminator Loss: 0.7249(Real: 0.2980 + Fake: 0.4269)... Generator Loss: 1.3593 Epoch 204/300... Discriminator Loss: 0.8541(Real: 0.4805 + Fake: 0.3736)... Generator Loss: 1.6595 Epoch 205/300... Discriminator Loss: 0.8331(Real: 0.4146 + Fake: 0.4185)... Generator Loss: 1.4376 Epoch 206/300... Discriminator Loss: 0.9448(Real: 0.4465 + Fake: 0.4983)... Generator Loss: 1.3908 Epoch 207/300... Discriminator Loss: 0.8465(Real: 0.3963 + Fake: 0.4502)... Generator Loss: 1.5042 Epoch 208/300... Discriminator Loss: 0.8851(Real: 0.4690 + Fake: 0.4162)... Generator Loss: 1.4209 Epoch 209/300... Discriminator Loss: 0.7723(Real: 0.4412 + Fake: 0.3311)... Generator Loss: 1.8208 Epoch 210/300... Discriminator Loss: 0.9705(Real: 0.5858 + Fake: 0.3847)... Generator Loss: 1.6971 Epoch 211/300... Discriminator Loss: 0.7765(Real: 0.4012 + Fake: 0.3753)... Generator Loss: 1.5460 Epoch 212/300... Discriminator Loss: 0.8158(Real: 0.3679 + Fake: 0.4479)... Generator Loss: 1.5751 Epoch 213/300... Discriminator Loss: 1.0357(Real: 0.5575 + Fake: 0.4782)... Generator Loss: 1.5222 Epoch 214/300... Discriminator Loss: 0.9486(Real: 0.4693 + Fake: 0.4793)... Generator Loss: 1.4126 Epoch 215/300... Discriminator Loss: 0.9460(Real: 0.5224 + Fake: 0.4236)... Generator Loss: 1.5115 Epoch 216/300... Discriminator Loss: 0.8645(Real: 0.3317 + Fake: 0.5328)... Generator Loss: 1.2960 Epoch 217/300... Discriminator Loss: 0.8437(Real: 0.4500 + Fake: 0.3937)... Generator Loss: 1.6961 Epoch 218/300... Discriminator Loss: 0.7144(Real: 0.3081 + Fake: 0.4063)... Generator Loss: 1.6794 Epoch 219/300... Discriminator Loss: 0.8068(Real: 0.2967 + Fake: 0.5101)... Generator Loss: 1.4437 Epoch 220/300... Discriminator Loss: 0.9286(Real: 0.4495 + Fake: 0.4791)... Generator Loss: 1.4267 Epoch 221/300... Discriminator Loss: 1.0262(Real: 0.5101 + Fake: 0.5161)... Generator Loss: 1.3806 Epoch 222/300... Discriminator Loss: 1.0850(Real: 0.6448 + Fake: 0.4402)... Generator Loss: 1.5120 Epoch 223/300... Discriminator Loss: 0.9445(Real: 0.5839 + Fake: 0.3606)... Generator Loss: 1.7458 Epoch 224/300... Discriminator Loss: 0.8996(Real: 0.4439 + Fake: 0.4558)... Generator Loss: 1.3533 Epoch 225/300... Discriminator Loss: 0.9013(Real: 0.4363 + Fake: 0.4651)... Generator Loss: 1.4166 Epoch 226/300... Discriminator Loss: 0.7510(Real: 0.4131 + Fake: 0.3378)... Generator Loss: 1.8488 Epoch 227/300... Discriminator Loss: 0.8491(Real: 0.3694 + Fake: 0.4797)... Generator Loss: 1.3296 Epoch 228/300... Discriminator Loss: 0.9011(Real: 0.5374 + Fake: 0.3637)... Generator Loss: 1.5708 Epoch 229/300... Discriminator Loss: 0.7550(Real: 0.3954 + Fake: 0.3596)... Generator Loss: 1.4792 Epoch 230/300... Discriminator Loss: 0.8597(Real: 0.5343 + Fake: 0.3254)... Generator Loss: 1.8235 Epoch 231/300... Discriminator Loss: 0.9227(Real: 0.5255 + Fake: 0.3973)... Generator Loss: 1.8356 Epoch 232/300... Discriminator Loss: 0.7922(Real: 0.4016 + Fake: 0.3906)... Generator Loss: 1.5902 Epoch 233/300... Discriminator Loss: 0.8071(Real: 0.4393 + Fake: 0.3678)... Generator Loss: 1.8041 Epoch 234/300... Discriminator Loss: 1.0976(Real: 0.4988 + Fake: 0.5989)... Generator Loss: 1.3628 Epoch 235/300... Discriminator Loss: 0.9364(Real: 0.6410 + Fake: 0.2954)... Generator Loss: 1.8640 Epoch 236/300... Discriminator Loss: 1.0302(Real: 0.3992 + Fake: 0.6309)... Generator Loss: 1.2057 Epoch 237/300... Discriminator Loss: 1.0051(Real: 0.5131 + Fake: 0.4920)... Generator Loss: 1.3722 Epoch 238/300... Discriminator Loss: 0.9131(Real: 0.4921 + Fake: 0.4210)... Generator Loss: 1.5767 Epoch 239/300... Discriminator Loss: 0.7237(Real: 0.3388 + Fake: 0.3849)... Generator Loss: 1.5380 Epoch 240/300... Discriminator Loss: 0.8824(Real: 0.4462 + Fake: 0.4362)... Generator Loss: 1.4088 Epoch 241/300... Discriminator Loss: 1.0159(Real: 0.5189 + Fake: 0.4970)... Generator Loss: 1.4357 Epoch 242/300... Discriminator Loss: 0.8292(Real: 0.3414 + Fake: 0.4878)... Generator Loss: 1.4072 Epoch 243/300... Discriminator Loss: 0.7986(Real: 0.3459 + Fake: 0.4527)... Generator Loss: 1.3561 Epoch 244/300... Discriminator Loss: 0.7868(Real: 0.3709 + Fake: 0.4158)... Generator Loss: 1.4753 Epoch 245/300... Discriminator Loss: 0.8756(Real: 0.3762 + Fake: 0.4994)... Generator Loss: 1.3728 Epoch 246/300... Discriminator Loss: 0.7911(Real: 0.3586 + Fake: 0.4325)... Generator Loss: 1.5808 Epoch 247/300... Discriminator Loss: 0.8963(Real: 0.5438 + Fake: 0.3525)... Generator Loss: 1.5522 Epoch 248/300... Discriminator Loss: 0.8962(Real: 0.5015 + Fake: 0.3947)... Generator Loss: 1.4568 Epoch 249/300... Discriminator Loss: 0.8785(Real: 0.4011 + Fake: 0.4774)... Generator Loss: 1.4458 Epoch 250/300... Discriminator Loss: 0.8779(Real: 0.4671 + Fake: 0.4107)... Generator Loss: 1.4374 Epoch 251/300... Discriminator Loss: 0.6855(Real: 0.2278 + Fake: 0.4577)... Generator Loss: 1.5999 Epoch 252/300... Discriminator Loss: 0.7288(Real: 0.2969 + Fake: 0.4320)... Generator Loss: 1.3145 Epoch 253/300... Discriminator Loss: 0.7708(Real: 0.4156 + Fake: 0.3552)... Generator Loss: 1.6440 Epoch 254/300... Discriminator Loss: 0.9197(Real: 0.4527 + Fake: 0.4670)... Generator Loss: 1.4224 Epoch 255/300... Discriminator Loss: 0.6597(Real: 0.3203 + Fake: 0.3394)... Generator Loss: 1.6832 Epoch 256/300... Discriminator Loss: 0.8803(Real: 0.4743 + Fake: 0.4059)... Generator Loss: 1.6164 Epoch 257/300... Discriminator Loss: 0.8283(Real: 0.5917 + Fake: 0.2366)... Generator Loss: 2.0667 Epoch 258/300... Discriminator Loss: 0.6551(Real: 0.3308 + Fake: 0.3243)... Generator Loss: 1.5897 Epoch 259/300... Discriminator Loss: 0.8434(Real: 0.4004 + Fake: 0.4430)... Generator Loss: 1.4550 Epoch 260/300... Discriminator Loss: 0.8509(Real: 0.4681 + Fake: 0.3827)... Generator Loss: 1.6318 Epoch 261/300... Discriminator Loss: 0.7960(Real: 0.3591 + Fake: 0.4369)... Generator Loss: 1.3548 Epoch 262/300... Discriminator Loss: 0.7886(Real: 0.4408 + Fake: 0.3478)... Generator Loss: 1.7824 Epoch 263/300... Discriminator Loss: 0.8493(Real: 0.3982 + Fake: 0.4512)... Generator Loss: 1.3558 Epoch 264/300... Discriminator Loss: 0.7801(Real: 0.5010 + Fake: 0.2791)... Generator Loss: 1.9513 Epoch 265/300... Discriminator Loss: 0.9426(Real: 0.4282 + Fake: 0.5144)... Generator Loss: 1.2997 Epoch 266/300... Discriminator Loss: 0.8832(Real: 0.4302 + Fake: 0.4530)... Generator Loss: 1.6325 Epoch 267/300... Discriminator Loss: 0.8256(Real: 0.4444 + Fake: 0.3812)... Generator Loss: 1.6942 Epoch 268/300... Discriminator Loss: 0.7599(Real: 0.3865 + Fake: 0.3734)... Generator Loss: 1.5100 Epoch 269/300... Discriminator Loss: 0.7075(Real: 0.3521 + Fake: 0.3554)... Generator Loss: 1.7142 Epoch 270/300... Discriminator Loss: 0.8379(Real: 0.4407 + Fake: 0.3972)... Generator Loss: 1.6105 Epoch 271/300... Discriminator Loss: 0.8822(Real: 0.4576 + Fake: 0.4246)... Generator Loss: 1.3422 Epoch 272/300... Discriminator Loss: 0.7067(Real: 0.3747 + Fake: 0.3319)... Generator Loss: 1.7982 Epoch 273/300... Discriminator Loss: 0.9491(Real: 0.3331 + Fake: 0.6160)... Generator Loss: 1.1678 Epoch 274/300... Discriminator Loss: 0.9027(Real: 0.4023 + Fake: 0.5004)... Generator Loss: 1.3071 Epoch 275/300... Discriminator Loss: 1.0177(Real: 0.6045 + Fake: 0.4132)... Generator Loss: 1.5696 Epoch 276/300... Discriminator Loss: 0.7624(Real: 0.3835 + Fake: 0.3789)... Generator Loss: 1.6515 Epoch 277/300... Discriminator Loss: 0.7774(Real: 0.3535 + Fake: 0.4239)... Generator Loss: 1.4340 Epoch 278/300... Discriminator Loss: 0.9851(Real: 0.5067 + Fake: 0.4784)... Generator Loss: 1.6000 Epoch 279/300... Discriminator Loss: 0.7456(Real: 0.3019 + Fake: 0.4436)... Generator Loss: 1.5510 Epoch 280/300... Discriminator Loss: 0.8346(Real: 0.4733 + Fake: 0.3613)... Generator Loss: 1.6919 Epoch 281/300... Discriminator Loss: 0.9050(Real: 0.3088 + Fake: 0.5962)... Generator Loss: 1.1954 Epoch 282/300... Discriminator Loss: 0.8435(Real: 0.5000 + Fake: 0.3436)... Generator Loss: 1.5943 Epoch 283/300... Discriminator Loss: 0.8737(Real: 0.4931 + Fake: 0.3806)... Generator Loss: 1.6157 Epoch 284/300... Discriminator Loss: 0.9461(Real: 0.3680 + Fake: 0.5780)... Generator Loss: 1.1609 Epoch 285/300... Discriminator Loss: 0.8329(Real: 0.3817 + Fake: 0.4511)... Generator Loss: 1.4198 Epoch 286/300... Discriminator Loss: 0.9539(Real: 0.4490 + Fake: 0.5049)... Generator Loss: 1.5694 Epoch 287/300... Discriminator Loss: 0.9675(Real: 0.6881 + Fake: 0.2794)... Generator Loss: 1.9272 Epoch 288/300... Discriminator Loss: 0.8724(Real: 0.3608 + Fake: 0.5116)... Generator Loss: 1.3552 Epoch 289/300... Discriminator Loss: 0.9169(Real: 0.5468 + Fake: 0.3701)... Generator Loss: 1.6312 Epoch 290/300... Discriminator Loss: 0.9644(Real: 0.4654 + Fake: 0.4990)... Generator Loss: 1.4408 Epoch 291/300... Discriminator Loss: 0.7831(Real: 0.4403 + Fake: 0.3429)... Generator Loss: 1.7656 Epoch 292/300... Discriminator Loss: 0.8432(Real: 0.5023 + Fake: 0.3409)... Generator Loss: 1.7476 Epoch 293/300... Discriminator Loss: 0.9190(Real: 0.4037 + Fake: 0.5152)... Generator Loss: 1.5031 Epoch 294/300... Discriminator Loss: 0.9388(Real: 0.5509 + Fake: 0.3879)... Generator Loss: 1.6939 Epoch 295/300... Discriminator Loss: 0.9798(Real: 0.5885 + Fake: 0.3913)... Generator Loss: 1.6279 Epoch 296/300... Discriminator Loss: 0.7808(Real: 0.4825 + Fake: 0.2983)... Generator Loss: 1.7855 Epoch 297/300... Discriminator Loss: 0.7744(Real: 0.3379 + Fake: 0.4365)... Generator Loss: 1.7722 Epoch 298/300... Discriminator Loss: 0.8559(Real: 0.4442 + Fake: 0.4118)... Generator Loss: 1.5235 Epoch 299/300... Discriminator Loss: 0.8517(Real: 0.2599 + Fake: 0.5918)... Generator Loss: 1.3087 Epoch 300/300... Discriminator Loss: 1.0915(Real: 0.5660 + Fake: 0.5255)... Generator Loss: 1.4077