EXACT: How to Train Your Accuracy

Benchmark Model Rank Results
image-classification-on-cifar-10EXACT (WRN-28-10)#101Percentage correct: 96.73
image-classification-on-cifar-100EXACT (WRN-28-10)#95Percentage correct: 82.68
image-classification-on-mnistEXACT (M3-CNN)#19Percentage error: 0.33
image-classification-on-svhnEXACT (WRN-16-8)#25Percentage error: 2.21