Alexnet high accuracy

[dzwallkilled]

I trained the "Alexnet" in another implementation and got very high accuracy, around 85%.

The main differences between the two implementations are,

1. random cropping in train_transform "transforms.RandomCrop(32, padding=4)",
2. SGD optimizer with step-wise learning rate [100 150 180] (total 200 epochs) and an initial learning rate 0.1.

Is this high accuracy possible?