Building and training a simple MLP in torch

MLP_torch_dean.lua

-- building the MLP 
net = nn.Sequential() 
net:add(nn.Linear(150,400))
net:add(nn.Linear(400,300))
net:add(nn.Linear(300,200))
net:add(nn.Tanh()) -- tanh squashing function 
net:add(nn.Linear(200,2))
net:add(nn.LogSoftMax())

-- Training the net 
criterion = nn.ClassNLLCriterion()
trainer = nn.StochasticGradient(net, criterion)
trainer.learningRate = 0.01
trainer.maxIteration = 10
trainer:train(trainset)