This schedule demonstrates low-rate pruning (26% sparsity) acting as a
regularizer to reduce the generalization error of ResNet50 using the
ImageNet dataset.

We improve the ResNet50 Top1 test error by 0.4% (23.462 vs 23.85).
Top5 is improved as well: 6.82 error vs. 7.13 error in the baseline