benchmark - adding mlp_sgd.lua

benchmark/mlp1/torch5/mlp_sgd.lua

+
+require "lab"
+require "os"
+dataset={};
+n_examples=1000;
+inputs=1000;
+outputs=12;
+HUs=500;
+
+function dataset:size() return n_examples end -- 100 examples
+for i=1,dataset:size() do 
+  local input = lab.randn(inputs);     -- normally distributed example in 2d
+  local output = lab.randn(outputs);
+  dataset[i] = {input, output}
+end
+
+require "nn"
+mlp = nn.Sequential();  -- make a multi-layer perceptron
+mlp:add(nn.Linear(inputs, HUs))
+mlp:add(nn.Tanh())
+mlp:add(nn.Linear(HUs, outputs))
+
+
+criterion = nn.MSECriterion()  
+trainer = nn.StochasticGradient(mlp, criterion)
+trainer.learningRate = 0.01
+trainer.shuffleIndices = true
+trainer.maxIteration = 4
+trainer:train(dataset)
+