Add relu accuracy for MNIST and CIFAR10

paper/plots/data/CIFAR10_relu_accuracy.csv

+Spatial, ASM, APX
+0.726379, 0.15846799314022064, 0.14217902719974518
+0.726379, 0.17741000652313232, 0.157195046544075
+0.726379, 0.22559601068496704, 0.18391501903533936
+0.726379, 0.29005497694015503, 0.2235700488090515
+0.726379, 0.3818310797214508, 0.2836250364780426
+0.726379, 0.4848138391971588, 0.36814603209495544
+0.726379, 0.5685141086578369, 0.49551400542259216
+0.726379, 0.6309850811958313, 0.5889250040054321
+0.726379, 0.6670951247215271, 0.6512901186943054
+0.726379, 0.6929441094398499, 0.688965916633606
+0.726379, 0.7095920443534851, 0.710439920425415
+0.726379, 0.7190510034561157, 0.7214440107345581
+0.726379, 0.7239710092544556, 0.7254037261009216
+0.726379, 0.7259439826011658, 0.7267060279846191
+0.726379, 0.7263758778572083, 0.7263748645782471

paper/plots/data/MNIST_relu_accuracy.csv

+Spatial, ASM, APX
+0.98842, 0.09840100258588791, 0.1033179983496666
+0.98842, 0.16945400834083557, 0.1267389953136444
+0.98842, 0.3698651194572449, 0.24187904596328735
+0.98842, 0.6973899602890015, 0.44326409697532654
+0.98842, 0.8957449197769165, 0.7450817823410034
+0.98842, 0.9631999731063843, 0.923447847366333
+0.98842, 0.9792640805244446, 0.9694758057594299
+0.98842, 0.9849799871444702, 0.9839828610420227
+0.98842, 0.9869071245193481, 0.9870960116386414
+0.98842, 0.9878002405166626, 0.9882400035858154
+0.98842, 0.9881409406661987, 0.9886267185211182
+0.98842, 0.9883119463920593, 0.9887268543243408
+0.98842, 0.9883678555488586, 0.988710880279541
+0.98842, 0.9884229302406311, 0.9885340929031372
+0.98842, 0.9884179830551147, 0.9884179830551147