Example of classifier using Torch and the rnn module

gistfile1.txt

model = nn.Sequential()

lstm = nn.Sequencer(
  nn.Sequential()
  :add(nn.LSTM(nFeatures,nHidden))
  :add(nn.Dropout())
  :add(nn.LSTM(nHidden,nHidden))
)

lstm:remember('neither') -- force model to call forget at each call to forward

model:add(lstm)
model:add(nn.SelectTable(-1))
model:add(nn.Dropout())
model:add(nn.Linear(nHidden, nClasses))
model:add(nn.LogSoftMax())