This is a work in progress.
Run python ptb.py --reg <reg_arg>
where <reg_arg>
is one of none
, static
, or adaptive
. If static is selected, the network will be run with dropout, following the design in Recurrent Neural Network Regularization by Zarembra et al. (2014)
- ArXiV paper
- Experiments on CIFAR-10/100 with LeNet, VGG and residual networks.