-
Notifications
You must be signed in to change notification settings - Fork 0
/
run1_cifar10.txt
814 lines (810 loc) · 78.1 KB
/
run1_cifar10.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
Individual([{'type': 'conv2ddropout', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.3}},
{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.6164000001907348
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.1
Individual([{'type': 'conv2ddropout', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.2}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.10000000005960465
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.14429999985694886
Individual([{'type': 'conv2dpool', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.2}}],
dtype=object)
0.10010000005960465
Individual([{'type': 'conv2ddropout', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2ddropout', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.10000000005960465
Individual([{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.1}},
{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.5}}],
dtype=object)
0.10000000005960465
Individual([{'type': 'conv2d', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.2}}],
dtype=object)
0.1
Individual([{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.5}}],
dtype=object)
0.10000000005960465
Individual([{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
Error evaluating...
Negative dimension size caused by subtracting 3 from 2 for 'conv2d_26/convolution' (op: 'Conv2D') with input shapes: [?,2,2,64], [3,3,64,64].
0
gen nevals avg std min max
0 0 0.14608 0.160436 0 0.6164
Individual([{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.1}},
{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.5}},
{'type': 'conv2d', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.10000000005960465
Individual([{'type': 'conv2dpool', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.09999999994039535
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.5827999997138977
1 3 0.20435 0.198201 0.1 0.6164
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.6255999998092652
Individual([{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.5}},
{'type': 'conv2d', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.10000000005960465
Individual([{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.5238999999523163
Individual([{'type': 'conv2ddropout', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.3}},
{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.09999999998807907
2 4 0.43971 0.223824 0.1 0.6256
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.5912000005722046
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.6165000002861023
3 2 0.59465 0.0166217 0.5828 0.6256
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.5797999995231629
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6414999994277955
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.10000000005960465
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.6492999995231629
Individual([{'type': 'conv2ddropout', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.3}},
{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.1
4 5 0.50947 0.206008 0.1 0.6493
Individual([{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.5510999995231628
Individual([{'type': 'conv2ddropout', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.10000000002384186
5 2 0.56021 0.155954 0.1 0.6415
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6182000004768372
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6563000002861022
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.5115999999046326
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6543999992370605
6 4 0.61514 0.0444797 0.5116 0.6563
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2d', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
Error evaluating...
Negative dimension size caused by subtracting 3 from 2 for 'conv2d_91/convolution' (op: 'Conv2D') with input shapes: [?,2,2,128], [3,3,128,128].
0
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.10180000001192092
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.575899999332428
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2d', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
Error evaluating...
Negative dimension size caused by subtracting 3 from 2 for 'conv2d_104/convolution' (op: 'Conv2D') with input shapes: [?,2,2,128], [3,3,128,128].
0
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.09999999994039535
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.6365999997138977
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
Error evaluating...
Negative dimension size caused by subtracting 3 from 2 for 'conv2d_113/convolution' (op: 'Conv2D') with input shapes: [?,2,2,64], [3,3,64,128].
0
Individual([{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.6388000001907349
7 8 0.33638 0.298798 0 0.6563
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
Error evaluating...
Negative dimension size caused by subtracting 3 from 2 for 'conv2d_121/convolution' (op: 'Conv2D') with input shapes: [?,2,2,128], [3,3,128,32].
0
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
Error evaluating...
Negative dimension size caused by subtracting 3 from 2 for 'conv2d_126/convolution' (op: 'Conv2D') with input shapes: [?,2,2,128], [3,3,128,16].
0
Individual([{'type': 'conv2dpool', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.5414
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6204000005722046
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6600000002861023
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2d', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
Error evaluating...
Negative dimension size caused by subtracting 3 from 2 for 'conv2d_143/convolution' (op: 'Conv2D') with input shapes: [?,2,2,128], [3,3,128,128].
0
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6873000005722046
8 7 0.31654 0.318551 0 0.6873
Individual([{'type': 'conv2dpool', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.5998000004768371
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6110999999046326
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6561000007629395
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6281000004768371
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.11619999997615814
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6433000007629395
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6466000005722046
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6383999998092651
9 8 0.58832 0.159082 0.1162 0.6873
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.656200000667572
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.617
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6667000003814697
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6355000004768372
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6287000000953674
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6341999996185302
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6114000004768372
10 7 0.64007 0.0174292 0.6114 0.6667
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.10639999992847443
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.5360000001430512
11 2 0.59226 0.166397 0.1064 0.6667
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6672000004768371
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6492999992370605
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6372999996185302
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6578
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6348000007629394
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6312999992370606
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6581000005722046
12 7 0.65151 0.0122485 0.6313 0.6672
Individual([{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.6203000000953675
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.10000000005960465
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6351999992370605
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6461999995231629
13 4 0.59463 0.165407 0.1 0.6667
Individual([{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}}],
dtype=object)
0.11370000003576279
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6691000002861023
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6525000003814697
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6166999996185303
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
Error evaluating...
Negative dimension size caused by subtracting 3 from 2 for 'conv2d_275/convolution' (op: 'Conv2D') with input shapes: [?,2,2,128], [3,3,128,128].
0
14 5 0.53369 0.240149 0 0.6691
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.6563999996185302
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6222000007629395
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6495
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6539999992370605
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6242000003814697
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6201000004768371
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
0.6737000001907348
15 7 0.64818 0.018337 0.6201 0.6737
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6854000007629395
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.6585000002861023
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.1}}],
dtype=object)
Error evaluating...
Negative dimension size caused by subtracting 3 from 2 for 'conv2d_314/convolution' (op: 'Conv2D') with input shapes: [?,2,2,128], [3,3,128,128].
0
Individual([{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.6240999996185302
16 4 0.59337 0.198365 0 0.6854
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
0.6366000004768372
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
0.6648999997138977
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.3}}],
dtype=object)
0.6218
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
0.6687000006675721
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.5646000004768371
17 5 0.64996 0.0333635 0.5646 0.6854
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.5}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6704000005722046
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.3}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
0.6718000004768372
Individual([{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.3}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.32030000014305116
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.669799999332428
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
0.6816999996185302
18 5 0.63871 0.106369 0.3203 0.6854
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.683899999332428
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6936999994277954
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.1
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6525000005722046
Individual([{'type': 'noise', 'params': {'stddev': 0.4501232470098985}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
0.09999999992847443
19 5 0.56078 0.230639 0.1 0.6937
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6757000001907348
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6586000000953675
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}},
{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.6692000000953674
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
0.6893999995231629
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6954000000953674
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6512999992370605
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.6704322129979299}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
0.6697999999046326
Individual([{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
0.1054
20 8 0.61856 0.171558 0.1054 0.6954
----------------------------------
gen nevals avg std min max
0 0 0.14608 0.160436 0 0.6164
1 3 0.20435 0.198201 0.1 0.6164
2 4 0.43971 0.223824 0.1 0.6256
3 2 0.59465 0.0166217 0.5828 0.6256
4 5 0.50947 0.206008 0.1 0.6493
5 2 0.56021 0.155954 0.1 0.6415
6 4 0.61514 0.0444797 0.5116 0.6563
7 8 0.33638 0.298798 0 0.6563
8 7 0.31654 0.318551 0 0.6873
9 8 0.58832 0.159082 0.1162 0.6873
10 7 0.64007 0.0174292 0.6114 0.6667
11 2 0.59226 0.166397 0.1064 0.6667
12 7 0.65151 0.0122485 0.6313 0.6672
13 4 0.59463 0.165407 0.1 0.6667
14 5 0.53369 0.240149 0 0.6691
15 7 0.64818 0.018337 0.6201 0.6737
16 4 0.59337 0.198365 0 0.6854
17 5 0.64996 0.0333635 0.5646 0.6854
18 5 0.63871 0.106369 0.3203 0.6854
19 5 0.56078 0.230639 0.1 0.6937
20 8 0.61856 0.171558 0.1054 0.6954
----------------------------------
Hall of Fame:
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
Fitness: (0.6854000007629395,)
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
Fitness: (0.6737000001907348,)
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.3}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
Fitness: (0.6718000004768372,)
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.5}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
Fitness: (0.6704000005722046,)
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.6704322129979299}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
Fitness: (0.6697999999046326,)
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}},
{'type': 'conv2dpool', 'params': {'filters': 256, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
Fitness: (0.6692000000953674,)
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}}],
dtype=object)
Fitness: (0.6691000002861023,)
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.4501232470098985}}],
dtype=object)
Fitness: (0.6687000006675721,)
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2d', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu'}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}}],
dtype=object)
Fitness: (0.6667000003814697,)
Individual([{'type': 'conv2dpool', 'params': {'filters': 64, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'conv2dpool', 'params': {'filters': 16, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}},
{'type': 'noise', 'params': {'stddev': 0.2238197915344039}},
{'type': 'conv2ddropout', 'params': {'filters': 128, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'rate': 0.4}},
{'type': 'conv2dpool', 'params': {'filters': 32, 'kernel_size': 3, 'kernel_initializer': 'glorot_normal', 'activation': 'relu', 'pool_size': 2}}],
dtype=object)
Fitness: (0.6563999996185302,)