binary_alexnet ratioInfl=3

In your binary_alexnet implementation you set `self.ratioInfl=3` [here](https://github.com/itayhubara/BinaryNet.pytorch/blob/f5c3672dede608f568e073a583cadd7a8a88fa9d/models/alexnet_binary.py#L11). Is this inflation used to obtain the 41.8% top-1 accuracy on ImageNet reported in your [JMRL paper](http://www.jmlr.org/papers/volume18/16-456/16-456.pdf)?