resnet152


Find this model in the ResNetV2 model summary
resnet152 Model Summary Plots





resnet152 Model Selected Details
  layer_type N M Q alpha D alpha-hat log_SN % Rand num_traps num_fingers rank_loss
layer_id                        
1 CONV2D 64 3 21.33 2.02 0.08 2.87 1.42 87.67 94 0 0
7 CONV2D 64 64 1.00 1.44 0.16 0.92 0.64 78.35 5 0 2
9 CONV2D 64 64 1.00 2.01 0.05 1.48 0.73 74.36 26 0 46
11 CONV2D 256 64 4.00 3.10 0.06 3.21 1.03 69.63 4 0 5
15 CONV2D 256 64 4.00 2.20 0.20 3.18 1.44 78.79 6 8 0
18 CONV2D 256 64 4.00 2.62 0.14 1.71 0.65 79.73 1 1 1
20 CONV2D 64 64 1.00 1.86 0.09 1.00 0.54 79.46 20 1 9
22 CONV2D 256 64 4.00 1.91 0.19 1.07 0.56 86.59 3 3 0
26 CONV2D 256 64 4.00 2.46 0.15 1.24 0.51 83.75 0 2 0
28 CONV2D 64 64 1.00 1.77 0.10 0.53 0.30 82.82 12 0 5
30 CONV2D 256 64 4.00 4.61 0.15 2.03 0.44 87.58 1 1 0
35 CONV2D 256 128 2.00 2.38 0.12 1.70 0.72 83.34 0 0 0
37 CONV2D 128 128 1.00 2.99 0.09 0.66 0.22 85.35 15 0 7
39 CONV2D 512 128 4.00 3.26 0.12 1.71 0.52 83.78 0 0 0
43 CONV2D 512 256 2.00 1.90 0.07 2.11 1.11 67.04 6 0 0
46 CONV2D 512 128 4.00 2.15 0.10 1.46 0.68 67.44 1 0 0
48 CONV2D 128 128 1.00 1.85 0.05 0.99 0.53 66.46 30 0 9
50 CONV2D 512 128 4.00 1.55 0.15 0.92 0.59 75.19 1 4 0
54 CONV2D 512 128 4.00 2.09 0.13 1.02 0.49 77.66 1 1 0
56 CONV2D 128 128 1.00 2.28 0.07 0.48 0.21 77.62 25 0 7
58 CONV2D 512 128 4.00 2.15 0.16 1.04 0.48 80.30 0 4 0
62 CONV2D 512 128 4.00 3.14 0.10 1.40 0.45 79.27 0 0 0
64 CONV2D 128 128 1.00 1.89 0.07 0.66 0.35 77.58 18 0 5
66 CONV2D 512 128 4.00 1.89 0.13 0.95 0.50 80.03 1 1 0
70 CONV2D 512 128 4.00 1.59 0.12 0.90 0.57 72.55 0 3 0
72 CONV2D 128 128 1.00 1.99 0.05 0.63 0.32 74.77 18 0 5
74 CONV2D 512 128 4.00 1.54 0.15 0.59 0.38 76.95 1 2 0
78 CONV2D 512 128 4.00 2.67 0.12 0.93 0.35 80.07 0 0 1
80 CONV2D 128 128 1.00 2.09 0.08 0.15 0.07 82.03 15 0 12
82 CONV2D 512 128 4.00 3.10 0.10 1.13 0.36 81.06 0 0 0
86 CONV2D 512 128 4.00 2.57 0.10 1.56 0.61 76.41 0 0 0
88 CONV2D 128 128 1.00 2.13 0.05 0.54 0.25 77.74 20 0 8
90 CONV2D 512 128 4.00 3.53 0.12 1.26 0.36 80.92 1 0 0
94 CONV2D 512 128 4.00 2.38 0.13 1.07 0.45 82.34 0 2 0
96 CONV2D 128 128 1.00 2.85 0.07 0.52 0.18 86.11 17 0 7
98 CONV2D 512 128 4.00 3.29 0.07 1.70 0.52 81.14 1 0 0
103 CONV2D 512 256 2.00 2.94 0.10 2.44 0.83 80.92 0 0 0
105 CONV2D 256 256 1.00 4.17 0.08 0.04 0.01 91.21 39 0 9
107 CONV2D 1024 256 4.00 3.88 0.12 2.46 0.63 82.92 0 1 0
111 CONV2D 1024 512 2.00 2.59 0.06 2.40 0.93 74.34 6 0 0
114 CONV2D 1024 256 4.00 1.57 0.10 0.75 0.48 69.05 1 0 0
116 CONV2D 256 256 1.00 2.03 0.07 0.33 0.16 75.55 30 0 14
118 CONV2D 1024 256 4.00 2.90 0.11 1.80 0.62 76.82 4 1 0
122 CONV2D 1024 256 4.00 1.55 0.11 0.41 0.26 72.38 1 0 0
124 CONV2D 256 256 1.00 2.13 0.05 0.49 0.23 71.80 26 0 15
126 CONV2D 1024 256 4.00 2.02 0.11 1.01 0.50 76.96 0 1 0
130 CONV2D 1024 256 4.00 1.62 0.10 0.41 0.25 73.05 2 1 0
132 CONV2D 256 256 1.00 2.05 0.08 0.15 0.07 75.34 20 1 16
134 CONV2D 1024 256 4.00 1.66 0.11 0.68 0.41 76.40 2 1 0
138 CONV2D 1024 256 4.00 1.68 0.06 0.76 0.45 66.50 0 0 0
140 CONV2D 256 256 1.00 2.03 0.05 0.51 0.25 73.66 29 0 16
142 CONV2D 1024 256 4.00 1.69 0.11 0.79 0.46 71.56 1 0 0
146 CONV2D 1024 256 4.00 1.64 0.11 0.61 0.38 76.51 2 0 0
148 CONV2D 256 256 1.00 2.23 0.07 -0.08 -0.04 79.64 26 0 14
150 CONV2D 1024 256 4.00 2.01 0.11 0.63 0.31 80.09 0 1 0
154 CONV2D 1024 256 4.00 2.80 0.10 1.04 0.37 76.72 1 0 0
156 CONV2D 256 256 1.00 2.13 0.06 0.31 0.14 77.65 19 0 16
158 CONV2D 1024 256 4.00 1.94 0.12 0.89 0.46 77.72 1 1 0
162 CONV2D 1024 256 4.00 1.80 0.10 0.64 0.36 75.39 1 1 0
164 CONV2D 256 256 1.00 1.94 0.08 -0.04 -0.02 77.48 10 0 14
166 CONV2D 1024 256 4.00 2.15 0.09 0.69 0.32 75.56 1 0 0
170 CONV2D 1024 256 4.00 1.76 0.11 0.49 0.28 77.65 2 0 0
172 CONV2D 256 256 1.00 2.08 0.07 -0.06 -0.03 78.67 20 0 12
174 CONV2D 1024 256 4.00 2.22 0.09 1.06 0.48 75.47 1 0 0
178 CONV2D 1024 256 4.00 2.34 0.10 0.92 0.39 78.93 0 0 0
180 CONV2D 256 256 1.00 3.28 0.05 0.36 0.11 82.69 32 0 11
182 CONV2D 1024 256 4.00 3.34 0.07 1.79 0.54 78.47 0 0 0
186 CONV2D 1024 256 4.00 1.74 0.10 0.76 0.44 76.76 3 0 0
188 CONV2D 256 256 1.00 1.99 0.08 0.23 0.11 79.20 23 0 12
190 CONV2D 1024 256 4.00 1.95 0.11 0.88 0.45 77.32 0 2 0
194 CONV2D 1024 256 4.00 2.80 0.09 1.14 0.41 77.40 0 0 0
196 CONV2D 256 256 1.00 2.10 0.05 0.32 0.15 77.97 14 0 15
198 CONV2D 1024 256 4.00 1.74 0.12 0.48 0.28 78.28 1 1 0
202 CONV2D 1024 256 4.00 2.60 0.10 0.69 0.26 82.25 1 0 0
204 CONV2D 256 256 1.00 2.48 0.05 -0.14 -0.06 80.13 15 0 15
206 CONV2D 1024 256 4.00 2.21 0.08 0.74 0.33 77.60 1 0 0
210 CONV2D 1024 256 4.00 4.00 0.12 1.46 0.37 84.09 0 1 0
212 CONV2D 256 256 1.00 2.67 0.04 -0.04 -0.01 85.63 33 0 13
214 CONV2D 1024 256 4.00 2.61 0.12 1.15 0.44 84.08 2 1 0
218 CONV2D 1024 256 4.00 1.92 0.11 0.79 0.41 79.99 0 1 0
220 CONV2D 256 256 1.00 2.20 0.05 0.53 0.24 78.80 20 0 14
222 CONV2D 1024 256 4.00 3.55 0.11 1.54 0.43 78.55 1 1 0
226 CONV2D 1024 256 4.00 1.97 0.09 0.65 0.33 78.01 0 0 0
228 CONV2D 256 256 1.00 1.98 0.07 -0.16 -0.08 76.28 10 0 15
230 CONV2D 1024 256 4.00 1.91 0.10 0.77 0.40 75.86 1 1 0
234 CONV2D 1024 256 4.00 2.21 0.10 0.64 0.29 81.71 0 1 0
236 CONV2D 256 256 1.00 2.34 0.05 0.16 0.07 80.10 23 0 17
238 CONV2D 1024 256 4.00 2.07 0.11 0.79 0.38 80.64 1 1 0
242 CONV2D 1024 256 4.00 2.41 0.08 0.92 0.38 81.94 0 0 0
244 CONV2D 256 256 1.00 3.45 0.03 -0.20 -0.06 88.93 36 0 11
246 CONV2D 1024 256 4.00 4.38 0.09 0.88 0.20 85.62 0 0 0
250 CONV2D 1024 256 4.00 4.14 0.10 1.27 0.31 83.76 0 0 0
252 CONV2D 256 256 1.00 3.20 0.06 -0.82 -0.26 88.04 26 0 10
254 CONV2D 1024 256 4.00 4.05 0.09 0.71 0.18 85.77 1 0 0
258 CONV2D 1024 256 4.00 2.87 0.10 0.91 0.32 82.81 0 0 0
260 CONV2D 256 256 1.00 2.84 0.06 -0.28 -0.10 85.69 24 0 12
262 CONV2D 1024 256 4.00 2.93 0.13 1.08 0.37 86.01 1 1 0
266 CONV2D 1024 256 4.00 3.49 0.06 1.14 0.33 85.30 0 0 0
268 CONV2D 256 256 1.00 2.62 0.03 0.08 0.03 82.83 14 0 11
270 CONV2D 1024 256 4.00 3.06 0.05 1.30 0.43 82.67 1 0 0
274 CONV2D 1024 256 4.00 2.08 0.08 1.26 0.61 79.15 0 0 0
276 CONV2D 256 256 1.00 3.17 0.05 0.14 0.04 86.68 31 0 8
278 CONV2D 1024 256 4.00 3.45 0.08 1.39 0.40 83.58 0 0 0
282 CONV2D 1024 256 4.00 2.40 0.13 0.80 0.33 86.11 0 4 0
284 CONV2D 256 256 1.00 2.94 0.03 -0.12 -0.04 87.32 25 0 12
286 CONV2D 1024 256 4.00 3.59 0.14 1.71 0.47 88.92 1 2 0
290 CONV2D 1024 256 4.00 2.97 0.11 0.68 0.23 87.33 0 0 0
292 CONV2D 256 256 1.00 3.20 0.03 -0.82 -0.26 88.22 13 0 14
294 CONV2D 1024 256 4.00 2.90 0.14 0.87 0.30 88.12 1 7 0
298 CONV2D 1024 256 4.00 3.60 0.08 1.47 0.41 86.70 0 0 0
300 CONV2D 256 256 1.00 4.10 0.04 -0.71 -0.17 94.19 26 0 12
302 CONV2D 1024 256 4.00 3.90 0.13 0.46 0.12 90.27 1 3 0
306 CONV2D 1024 256 4.00 2.62 0.13 0.93 0.35 88.28 1 2 0
308 CONV2D 256 256 1.00 3.46 0.04 0.33 0.09 89.53 17 0 12
310 CONV2D 1024 256 4.00 4.97 0.07 2.74 0.55 88.17 2 0 0
314 CONV2D 1024 256 4.00 3.67 0.09 1.34 0.36 88.95 0 0 0
316 CONV2D 256 256 1.00 5.30 0.03 -0.92 -0.17 95.42 17 0 12
318 CONV2D 1024 256 4.00 3.80 0.15 0.65 0.17 91.04 1 1 0
322 CONV2D 1024 256 4.00 2.94 0.07 1.71 0.58 83.80 0 0 0
324 CONV2D 256 256 1.00 4.90 0.04 -0.45 -0.09 92.46 14 0 11
326 CONV2D 1024 256 4.00 7.17 0.07 2.15 0.30 87.48 0 0 0
330 CONV2D 1024 256 4.00 4.21 0.06 1.75 0.42 88.02 1 0 0
332 CONV2D 256 256 1.00 2.90 0.02 0.73 0.25 84.59 18 0 12
334 CONV2D 1024 256 4.00 3.71 0.04 2.62 0.71 84.84 2 0 0
338 CONV2D 1024 256 4.00 3.39 0.10 1.25 0.37 90.45 0 1 0
340 CONV2D 256 256 1.00 5.01 0.05 -1.65 -0.33 95.83 11 0 11
342 CONV2D 1024 256 4.00 9.04 0.06 1.81 0.20 91.42 1 0 0
346 CONV2D 1024 256 4.00 4.65 0.07 2.23 0.48 91.90 0 0 0
348 CONV2D 256 256 1.00 3.34 0.07 -0.30 -0.09 89.59 13 0 14
350 CONV2D 1024 256 4.00 4.25 0.08 2.52 0.59 86.11 0 0 0
354 CONV2D 1024 256 4.00 2.85 0.05 1.68 0.59 83.73 0 0 0
356 CONV2D 256 256 1.00 4.18 0.02 -0.01 -0.00 91.43 10 0 11
358 CONV2D 1024 256 4.00 5.79 0.05 2.57 0.44 88.18 0 0 0
362 CONV2D 1024 256 4.00 3.91 0.13 2.03 0.52 93.19 0 2 0
364 CONV2D 256 256 1.00 3.91 0.08 -0.08 -0.02 91.89 19 0 10
366 CONV2D 1024 256 4.00 5.89 0.08 2.22 0.38 89.32 0 0 0
370 CONV2D 1024 256 4.00 4.58 0.05 2.23 0.49 91.36 0 0 0
372 CONV2D 256 256 1.00 2.98 0.05 0.10 0.03 86.30 14 0 9
374 CONV2D 1024 256 4.00 4.05 0.07 2.99 0.74 85.25 1 0 0
378 CONV2D 1024 256 4.00 5.77 0.04 2.48 0.43 92.12 0 0 0
380 CONV2D 256 256 1.00 3.55 0.07 -0.17 -0.05 90.26 20 0 11
382 CONV2D 1024 256 4.00 7.01 0.07 2.18 0.31 90.91 1 0 0
386 CONV2D 1024 256 4.00 2.19 0.08 1.21 0.55 77.60 4 0 0
388 CONV2D 256 256 1.00 2.82 0.06 0.62 0.22 78.43 21 0 12
390 CONV2D 1024 256 4.00 2.49 0.08 2.02 0.81 67.25 1 0 0
395 CONV2D 1024 512 2.00 3.74 0.05 3.20 0.85 86.71 0 0 0
397 CONV2D 512 512 1.00 6.00 0.05 2.29 0.38 96.31 22 0 11
399 CONV2D 2048 512 4.00 7.28 0.06 7.02 0.96 94.89 1 0 0
403 CONV2D 2048 1024 2.00 4.87 0.04 5.79 1.19 90.01 0 0 0
406 CONV2D 2048 512 4.00 6.67 0.05 5.35 0.80 89.51 1 0 0
408 CONV2D 512 512 1.00 3.58 0.03 2.94 0.82 86.04 19 0 14
410 CONV2D 2048 512 4.00 3.71 0.05 4.58 1.23 86.95 1 0 0
414 CONV2D 2048 512 4.00 4.27 0.09 6.10 1.43 86.90 1 0 0
416 CONV2D 512 512 1.00 3.56 0.07 2.44 0.68 84.86 25 0 16
418 CONV2D 2048 512 4.00 3.25 0.05 5.76 1.77 81.53 1 0 0
422 DENSE 2048 1000 2.05 4.64 0.03 6.67 1.44 93.28 30 0 1

resnet152 Layer Plots
Layer 1
   Layer=1  |  N=64  |  M=3  |  Q=21.33  |  alpha=2.02  |  D_ks=0.08  |  alpha-hat=2.87  |  num traps=94









Layer 7
   Layer=7  |  N=64  |  M=64  |  Q=1.00  |  alpha=1.44  |  D_ks=0.16  |  alpha-hat=0.92  |  num traps=5









Layer 9
   Layer=9  |  N=64  |  M=64  |  Q=1.00  |  alpha=2.01  |  D_ks=0.05  |  alpha-hat=1.48  |  num traps=26









Layer 11
   Layer=11  |  N=256  |  M=64  |  Q=4.00  |  alpha=3.10  |  D_ks=0.06  |  alpha-hat=3.21  |  num traps=4









Layer 15
   Layer=15  |  N=256  |  M=64  |  Q=4.00  |  alpha=2.20  |  D_ks=0.20  |  alpha-hat=3.18  |  num traps=6









Layer 18
   Layer=18  |  N=256  |  M=64  |  Q=4.00  |  alpha=2.62  |  D_ks=0.14  |  alpha-hat=1.71  |  num traps=1









Layer 20
   Layer=20  |  N=64  |  M=64  |  Q=1.00  |  alpha=1.86  |  D_ks=0.09  |  alpha-hat=1.00  |  num traps=20









Layer 22
   Layer=22  |  N=256  |  M=64  |  Q=4.00  |  alpha=1.91  |  D_ks=0.19  |  alpha-hat=1.07  |  num traps=3









Layer 26
   Layer=26  |  N=256  |  M=64  |  Q=4.00  |  alpha=2.46  |  D_ks=0.15  |  alpha-hat=1.24  |  num traps=0









Layer 28
   Layer=28  |  N=64  |  M=64  |  Q=1.00  |  alpha=1.77  |  D_ks=0.10  |  alpha-hat=0.53  |  num traps=12









Layer 30
   Layer=30  |  N=256  |  M=64  |  Q=4.00  |  alpha=4.61  |  D_ks=0.15  |  alpha-hat=2.03  |  num traps=1









Layer 35
   Layer=35  |  N=256  |  M=128  |  Q=2.00  |  alpha=2.38  |  D_ks=0.12  |  alpha-hat=1.70  |  num traps=0









Layer 37
   Layer=37  |  N=128  |  M=128  |  Q=1.00  |  alpha=2.99  |  D_ks=0.09  |  alpha-hat=0.66  |  num traps=15









Layer 39
   Layer=39  |  N=512  |  M=128  |  Q=4.00  |  alpha=3.26  |  D_ks=0.12  |  alpha-hat=1.71  |  num traps=0









Layer 43
   Layer=43  |  N=512  |  M=256  |  Q=2.00  |  alpha=1.90  |  D_ks=0.07  |  alpha-hat=2.11  |  num traps=6









Layer 46
   Layer=46  |  N=512  |  M=128  |  Q=4.00  |  alpha=2.15  |  D_ks=0.10  |  alpha-hat=1.46  |  num traps=1









Layer 48
   Layer=48  |  N=128  |  M=128  |  Q=1.00  |  alpha=1.85  |  D_ks=0.05  |  alpha-hat=0.99  |  num traps=30









Layer 50
   Layer=50  |  N=512  |  M=128  |  Q=4.00  |  alpha=1.55  |  D_ks=0.15  |  alpha-hat=0.92  |  num traps=1









Layer 54
   Layer=54  |  N=512  |  M=128  |  Q=4.00  |  alpha=2.09  |  D_ks=0.13  |  alpha-hat=1.02  |  num traps=1









Layer 56
   Layer=56  |  N=128  |  M=128  |  Q=1.00  |  alpha=2.28  |  D_ks=0.07  |  alpha-hat=0.48  |  num traps=25









Layer 58
   Layer=58  |  N=512  |  M=128  |  Q=4.00  |  alpha=2.15  |  D_ks=0.16  |  alpha-hat=1.04  |  num traps=0









Layer 62
   Layer=62  |  N=512  |  M=128  |  Q=4.00  |  alpha=3.14  |  D_ks=0.10  |  alpha-hat=1.40  |  num traps=0









Layer 64
   Layer=64  |  N=128  |  M=128  |  Q=1.00  |  alpha=1.89  |  D_ks=0.07  |  alpha-hat=0.66  |  num traps=18









Layer 66
   Layer=66  |  N=512  |  M=128  |  Q=4.00  |  alpha=1.89  |  D_ks=0.13  |  alpha-hat=0.95  |  num traps=1









Layer 70
   Layer=70  |  N=512  |  M=128  |  Q=4.00  |  alpha=1.59  |  D_ks=0.12  |  alpha-hat=0.90  |  num traps=0









Layer 72
   Layer=72  |  N=128  |  M=128  |  Q=1.00  |  alpha=1.99  |  D_ks=0.05  |  alpha-hat=0.63  |  num traps=18









Layer 74
   Layer=74  |  N=512  |  M=128  |  Q=4.00  |  alpha=1.54  |  D_ks=0.15  |  alpha-hat=0.59  |  num traps=1









Layer 78
   Layer=78  |  N=512  |  M=128  |  Q=4.00  |  alpha=2.67  |  D_ks=0.12  |  alpha-hat=0.93  |  num traps=0









Layer 80
   Layer=80  |  N=128  |  M=128  |  Q=1.00  |  alpha=2.09  |  D_ks=0.08  |  alpha-hat=0.15  |  num traps=15









Layer 82
   Layer=82  |  N=512  |  M=128  |  Q=4.00  |  alpha=3.10  |  D_ks=0.10  |  alpha-hat=1.13  |  num traps=0









Layer 86
   Layer=86  |  N=512  |  M=128  |  Q=4.00  |  alpha=2.57  |  D_ks=0.10  |  alpha-hat=1.56  |  num traps=0









Layer 88
   Layer=88  |  N=128  |  M=128  |  Q=1.00  |  alpha=2.13  |  D_ks=0.05  |  alpha-hat=0.54  |  num traps=20









Layer 90
   Layer=90  |  N=512  |  M=128  |  Q=4.00  |  alpha=3.53  |  D_ks=0.12  |  alpha-hat=1.26  |  num traps=1









Layer 94
   Layer=94  |  N=512  |  M=128  |  Q=4.00  |  alpha=2.38  |  D_ks=0.13  |  alpha-hat=1.07  |  num traps=0









Layer 96
   Layer=96  |  N=128  |  M=128  |  Q=1.00  |  alpha=2.85  |  D_ks=0.07  |  alpha-hat=0.52  |  num traps=17









Layer 98
   Layer=98  |  N=512  |  M=128  |  Q=4.00  |  alpha=3.29  |  D_ks=0.07  |  alpha-hat=1.70  |  num traps=1









Layer 103
   Layer=103  |  N=512  |  M=256  |  Q=2.00  |  alpha=2.94  |  D_ks=0.10  |  alpha-hat=2.44  |  num traps=0









Layer 105
   Layer=105  |  N=256  |  M=256  |  Q=1.00  |  alpha=4.17  |  D_ks=0.08  |  alpha-hat=0.04  |  num traps=39









Layer 107
   Layer=107  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.88  |  D_ks=0.12  |  alpha-hat=2.46  |  num traps=0









Layer 111
   Layer=111  |  N=1024  |  M=512  |  Q=2.00  |  alpha=2.59  |  D_ks=0.06  |  alpha-hat=2.40  |  num traps=6









Layer 114
   Layer=114  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.57  |  D_ks=0.10  |  alpha-hat=0.75  |  num traps=1









Layer 116
   Layer=116  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.03  |  D_ks=0.07  |  alpha-hat=0.33  |  num traps=30









Layer 118
   Layer=118  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.90  |  D_ks=0.11  |  alpha-hat=1.80  |  num traps=4









Layer 122
   Layer=122  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.55  |  D_ks=0.11  |  alpha-hat=0.41  |  num traps=1









Layer 124
   Layer=124  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.13  |  D_ks=0.05  |  alpha-hat=0.49  |  num traps=26









Layer 126
   Layer=126  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.02  |  D_ks=0.11  |  alpha-hat=1.01  |  num traps=0









Layer 130
   Layer=130  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.62  |  D_ks=0.10  |  alpha-hat=0.41  |  num traps=2









Layer 132
   Layer=132  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.05  |  D_ks=0.08  |  alpha-hat=0.15  |  num traps=20









Layer 134
   Layer=134  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.66  |  D_ks=0.11  |  alpha-hat=0.68  |  num traps=2









Layer 138
   Layer=138  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.68  |  D_ks=0.06  |  alpha-hat=0.76  |  num traps=0









Layer 140
   Layer=140  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.03  |  D_ks=0.05  |  alpha-hat=0.51  |  num traps=29









Layer 142
   Layer=142  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.69  |  D_ks=0.11  |  alpha-hat=0.79  |  num traps=1









Layer 146
   Layer=146  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.64  |  D_ks=0.11  |  alpha-hat=0.61  |  num traps=2









Layer 148
   Layer=148  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.23  |  D_ks=0.07  |  alpha-hat=-0.08  |  num traps=26









Layer 150
   Layer=150  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.01  |  D_ks=0.11  |  alpha-hat=0.63  |  num traps=0









Layer 154
   Layer=154  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.80  |  D_ks=0.10  |  alpha-hat=1.04  |  num traps=1









Layer 156
   Layer=156  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.13  |  D_ks=0.06  |  alpha-hat=0.31  |  num traps=19









Layer 158
   Layer=158  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.94  |  D_ks=0.12  |  alpha-hat=0.89  |  num traps=1









Layer 162
   Layer=162  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.80  |  D_ks=0.10  |  alpha-hat=0.64  |  num traps=1









Layer 164
   Layer=164  |  N=256  |  M=256  |  Q=1.00  |  alpha=1.94  |  D_ks=0.08  |  alpha-hat=-0.04  |  num traps=10









Layer 166
   Layer=166  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.15  |  D_ks=0.09  |  alpha-hat=0.69  |  num traps=1









Layer 170
   Layer=170  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.76  |  D_ks=0.11  |  alpha-hat=0.49  |  num traps=2









Layer 172
   Layer=172  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.08  |  D_ks=0.07  |  alpha-hat=-0.06  |  num traps=20









Layer 174
   Layer=174  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.22  |  D_ks=0.09  |  alpha-hat=1.06  |  num traps=1









Layer 178
   Layer=178  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.34  |  D_ks=0.10  |  alpha-hat=0.92  |  num traps=0









Layer 180
   Layer=180  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.28  |  D_ks=0.05  |  alpha-hat=0.36  |  num traps=32









Layer 182
   Layer=182  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.34  |  D_ks=0.07  |  alpha-hat=1.79  |  num traps=0









Layer 186
   Layer=186  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.74  |  D_ks=0.10  |  alpha-hat=0.76  |  num traps=3









Layer 188
   Layer=188  |  N=256  |  M=256  |  Q=1.00  |  alpha=1.99  |  D_ks=0.08  |  alpha-hat=0.23  |  num traps=23









Layer 190
   Layer=190  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.95  |  D_ks=0.11  |  alpha-hat=0.88  |  num traps=0









Layer 194
   Layer=194  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.80  |  D_ks=0.09  |  alpha-hat=1.14  |  num traps=0









Layer 196
   Layer=196  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.10  |  D_ks=0.05  |  alpha-hat=0.32  |  num traps=14









Layer 198
   Layer=198  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.74  |  D_ks=0.12  |  alpha-hat=0.48  |  num traps=1









Layer 202
   Layer=202  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.60  |  D_ks=0.10  |  alpha-hat=0.69  |  num traps=1









Layer 204
   Layer=204  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.48  |  D_ks=0.05  |  alpha-hat=-0.14  |  num traps=15









Layer 206
   Layer=206  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.21  |  D_ks=0.08  |  alpha-hat=0.74  |  num traps=1









Layer 210
   Layer=210  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.00  |  D_ks=0.12  |  alpha-hat=1.46  |  num traps=0









Layer 212
   Layer=212  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.67  |  D_ks=0.04  |  alpha-hat=-0.04  |  num traps=33









Layer 214
   Layer=214  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.61  |  D_ks=0.12  |  alpha-hat=1.15  |  num traps=2









Layer 218
   Layer=218  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.92  |  D_ks=0.11  |  alpha-hat=0.79  |  num traps=0









Layer 220
   Layer=220  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.20  |  D_ks=0.05  |  alpha-hat=0.53  |  num traps=20









Layer 222
   Layer=222  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.55  |  D_ks=0.11  |  alpha-hat=1.54  |  num traps=1









Layer 226
   Layer=226  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.97  |  D_ks=0.09  |  alpha-hat=0.65  |  num traps=0









Layer 228
   Layer=228  |  N=256  |  M=256  |  Q=1.00  |  alpha=1.98  |  D_ks=0.07  |  alpha-hat=-0.16  |  num traps=10









Layer 230
   Layer=230  |  N=1024  |  M=256  |  Q=4.00  |  alpha=1.91  |  D_ks=0.10  |  alpha-hat=0.77  |  num traps=1









Layer 234
   Layer=234  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.21  |  D_ks=0.10  |  alpha-hat=0.64  |  num traps=0









Layer 236
   Layer=236  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.34  |  D_ks=0.05  |  alpha-hat=0.16  |  num traps=23









Layer 238
   Layer=238  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.07  |  D_ks=0.11  |  alpha-hat=0.79  |  num traps=1









Layer 242
   Layer=242  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.41  |  D_ks=0.08  |  alpha-hat=0.92  |  num traps=0









Layer 244
   Layer=244  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.45  |  D_ks=0.03  |  alpha-hat=-0.20  |  num traps=36









Layer 246
   Layer=246  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.38  |  D_ks=0.09  |  alpha-hat=0.88  |  num traps=0









Layer 250
   Layer=250  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.14  |  D_ks=0.10  |  alpha-hat=1.27  |  num traps=0









Layer 252
   Layer=252  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.20  |  D_ks=0.06  |  alpha-hat=-0.82  |  num traps=26









Layer 254
   Layer=254  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.05  |  D_ks=0.09  |  alpha-hat=0.71  |  num traps=1









Layer 258
   Layer=258  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.87  |  D_ks=0.10  |  alpha-hat=0.91  |  num traps=0









Layer 260
   Layer=260  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.84  |  D_ks=0.06  |  alpha-hat=-0.28  |  num traps=24









Layer 262
   Layer=262  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.93  |  D_ks=0.13  |  alpha-hat=1.08  |  num traps=1









Layer 266
   Layer=266  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.49  |  D_ks=0.06  |  alpha-hat=1.14  |  num traps=0









Layer 268
   Layer=268  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.62  |  D_ks=0.03  |  alpha-hat=0.08  |  num traps=14









Layer 270
   Layer=270  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.06  |  D_ks=0.05  |  alpha-hat=1.30  |  num traps=1









Layer 274
   Layer=274  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.08  |  D_ks=0.08  |  alpha-hat=1.26  |  num traps=0









Layer 276
   Layer=276  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.17  |  D_ks=0.05  |  alpha-hat=0.14  |  num traps=31









Layer 278
   Layer=278  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.45  |  D_ks=0.08  |  alpha-hat=1.39  |  num traps=0









Layer 282
   Layer=282  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.40  |  D_ks=0.13  |  alpha-hat=0.80  |  num traps=0









Layer 284
   Layer=284  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.94  |  D_ks=0.03  |  alpha-hat=-0.12  |  num traps=25









Layer 286
   Layer=286  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.59  |  D_ks=0.14  |  alpha-hat=1.71  |  num traps=1









Layer 290
   Layer=290  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.97  |  D_ks=0.11  |  alpha-hat=0.68  |  num traps=0









Layer 292
   Layer=292  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.20  |  D_ks=0.03  |  alpha-hat=-0.82  |  num traps=13









Layer 294
   Layer=294  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.90  |  D_ks=0.14  |  alpha-hat=0.87  |  num traps=1









Layer 298
   Layer=298  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.60  |  D_ks=0.08  |  alpha-hat=1.47  |  num traps=0









Layer 300
   Layer=300  |  N=256  |  M=256  |  Q=1.00  |  alpha=4.10  |  D_ks=0.04  |  alpha-hat=-0.71  |  num traps=26









Layer 302
   Layer=302  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.90  |  D_ks=0.13  |  alpha-hat=0.46  |  num traps=1









Layer 306
   Layer=306  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.62  |  D_ks=0.13  |  alpha-hat=0.93  |  num traps=1









Layer 308
   Layer=308  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.46  |  D_ks=0.04  |  alpha-hat=0.33  |  num traps=17









Layer 310
   Layer=310  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.97  |  D_ks=0.07  |  alpha-hat=2.74  |  num traps=2









Layer 314
   Layer=314  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.67  |  D_ks=0.09  |  alpha-hat=1.34  |  num traps=0









Layer 316
   Layer=316  |  N=256  |  M=256  |  Q=1.00  |  alpha=5.30  |  D_ks=0.03  |  alpha-hat=-0.92  |  num traps=17









Layer 318
   Layer=318  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.80  |  D_ks=0.15  |  alpha-hat=0.65  |  num traps=1









Layer 322
   Layer=322  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.94  |  D_ks=0.07  |  alpha-hat=1.71  |  num traps=0









Layer 324
   Layer=324  |  N=256  |  M=256  |  Q=1.00  |  alpha=4.90  |  D_ks=0.04  |  alpha-hat=-0.45  |  num traps=14









Layer 326
   Layer=326  |  N=1024  |  M=256  |  Q=4.00  |  alpha=7.17  |  D_ks=0.07  |  alpha-hat=2.15  |  num traps=0









Layer 330
   Layer=330  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.21  |  D_ks=0.06  |  alpha-hat=1.75  |  num traps=1









Layer 332
   Layer=332  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.90  |  D_ks=0.02  |  alpha-hat=0.73  |  num traps=18









Layer 334
   Layer=334  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.71  |  D_ks=0.04  |  alpha-hat=2.62  |  num traps=2









Layer 338
   Layer=338  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.39  |  D_ks=0.10  |  alpha-hat=1.25  |  num traps=0









Layer 340
   Layer=340  |  N=256  |  M=256  |  Q=1.00  |  alpha=5.01  |  D_ks=0.05  |  alpha-hat=-1.65  |  num traps=11









Layer 342
   Layer=342  |  N=1024  |  M=256  |  Q=4.00  |  alpha=9.04  |  D_ks=0.06  |  alpha-hat=1.81  |  num traps=1









Layer 346
   Layer=346  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.65  |  D_ks=0.07  |  alpha-hat=2.23  |  num traps=0









Layer 348
   Layer=348  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.34  |  D_ks=0.07  |  alpha-hat=-0.30  |  num traps=13









Layer 350
   Layer=350  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.25  |  D_ks=0.08  |  alpha-hat=2.52  |  num traps=0









Layer 354
   Layer=354  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.85  |  D_ks=0.05  |  alpha-hat=1.68  |  num traps=0









Layer 356
   Layer=356  |  N=256  |  M=256  |  Q=1.00  |  alpha=4.18  |  D_ks=0.02  |  alpha-hat=-0.01  |  num traps=10









Layer 358
   Layer=358  |  N=1024  |  M=256  |  Q=4.00  |  alpha=5.79  |  D_ks=0.05  |  alpha-hat=2.57  |  num traps=0









Layer 362
   Layer=362  |  N=1024  |  M=256  |  Q=4.00  |  alpha=3.91  |  D_ks=0.13  |  alpha-hat=2.03  |  num traps=0









Layer 364
   Layer=364  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.91  |  D_ks=0.08  |  alpha-hat=-0.08  |  num traps=19









Layer 366
   Layer=366  |  N=1024  |  M=256  |  Q=4.00  |  alpha=5.89  |  D_ks=0.08  |  alpha-hat=2.22  |  num traps=0









Layer 370
   Layer=370  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.58  |  D_ks=0.05  |  alpha-hat=2.23  |  num traps=0









Layer 372
   Layer=372  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.98  |  D_ks=0.05  |  alpha-hat=0.10  |  num traps=14









Layer 374
   Layer=374  |  N=1024  |  M=256  |  Q=4.00  |  alpha=4.05  |  D_ks=0.07  |  alpha-hat=2.99  |  num traps=1









Layer 378
   Layer=378  |  N=1024  |  M=256  |  Q=4.00  |  alpha=5.77  |  D_ks=0.04  |  alpha-hat=2.48  |  num traps=0









Layer 380
   Layer=380  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.55  |  D_ks=0.07  |  alpha-hat=-0.17  |  num traps=20









Layer 382
   Layer=382  |  N=1024  |  M=256  |  Q=4.00  |  alpha=7.01  |  D_ks=0.07  |  alpha-hat=2.18  |  num traps=1









Layer 386
   Layer=386  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.19  |  D_ks=0.08  |  alpha-hat=1.21  |  num traps=4









Layer 388
   Layer=388  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.82  |  D_ks=0.06  |  alpha-hat=0.62  |  num traps=21









Layer 390
   Layer=390  |  N=1024  |  M=256  |  Q=4.00  |  alpha=2.49  |  D_ks=0.08  |  alpha-hat=2.02  |  num traps=1









Layer 395
   Layer=395  |  N=1024  |  M=512  |  Q=2.00  |  alpha=3.74  |  D_ks=0.05  |  alpha-hat=3.20  |  num traps=0









Layer 397
   Layer=397  |  N=512  |  M=512  |  Q=1.00  |  alpha=6.00  |  D_ks=0.05  |  alpha-hat=2.29  |  num traps=22









Layer 399
   Layer=399  |  N=2048  |  M=512  |  Q=4.00  |  alpha=7.28  |  D_ks=0.06  |  alpha-hat=7.02  |  num traps=1









Layer 403
   Layer=403  |  N=2048  |  M=1024  |  Q=2.00  |  alpha=4.87  |  D_ks=0.04  |  alpha-hat=5.79  |  num traps=0









Layer 406
   Layer=406  |  N=2048  |  M=512  |  Q=4.00  |  alpha=6.67  |  D_ks=0.05  |  alpha-hat=5.35  |  num traps=1









Layer 408
   Layer=408  |  N=512  |  M=512  |  Q=1.00  |  alpha=3.58  |  D_ks=0.03  |  alpha-hat=2.94  |  num traps=19









Layer 410
   Layer=410  |  N=2048  |  M=512  |  Q=4.00  |  alpha=3.71  |  D_ks=0.05  |  alpha-hat=4.58  |  num traps=1









Layer 414
   Layer=414  |  N=2048  |  M=512  |  Q=4.00  |  alpha=4.27  |  D_ks=0.09  |  alpha-hat=6.10  |  num traps=1









Layer 416
   Layer=416  |  N=512  |  M=512  |  Q=1.00  |  alpha=3.56  |  D_ks=0.07  |  alpha-hat=2.44  |  num traps=25









Layer 418
   Layer=418  |  N=2048  |  M=512  |  Q=4.00  |  alpha=3.25  |  D_ks=0.05  |  alpha-hat=5.76  |  num traps=1









Layer 422
   Layer=422  |  N=2048  |  M=1000  |  Q=2.05  |  alpha=4.64  |  D_ks=0.03  |  alpha-hat=6.67  |  num traps=30