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+
+You can run the whole script with "./doit --download-mnist" or just
+"./doit.sh" if you already have the MNIST database in the current
+directory.
+
+You should get the following output (this takes a few hours on a
+1.2Ghz Pentium-M):
+
+----------------------------------------------------------------------
+Loading the data file ... done.
+Database contains 60000 images of resolution 28x28 divided into 10 objects.
+Creating a new network (layers of sizes 784 200 10).
+Training the network with 20000 training and 20000 validation examples.
+0 TRAINING 12235.8 (8.58%) TESTING 13030 (9.405%)
+1 TRAINING 8839.31 (6.69%) TESTING 10132.9 (7.71%)
+2 TRAINING 6502.38 (4.575%) TESTING 8268.75 (6.235%)
+3 TRAINING 5656.71 (3.975%) TESTING 7637.6 (5.75%)
+4 TRAINING 5456.68 (3.56%) TESTING 7683.5 (5.6%) [1]
+5 TRAINING 4167.26 (2.64%) TESTING 6557.84 (4.82%)
+6 TRAINING 4320.34 (2.7%) TESTING 6796.09 (4.89%) [2]
+7 TRAINING 3725.38 (2.435%) TESTING 6307.99 (4.52%)
+8 TRAINING 3946.58 (2.49%) TESTING 6614.6 (4.53%) [3]
+9 TRAINING 3773.16 (2.24%) TESTING 6698.8 (4.67%) [4]
+10 TRAINING 3485.74 (2.13%) TESTING 6539.64 (4.54%)
+11 TRAINING 5903.21 (3.53%) TESTING 8881.58 (5.905%) [5]
+12 TRAINING 3165.84 (1.89%) TESTING 6366.87 (4.385%)
+13 TRAINING 3288.64 (2%) TESTING 6520.78 (4.5%) [6]
+14 TRAINING 2849.94 (1.615%) TESTING 6201.43 (4.215%)
+15 TRAINING 2693.19 (1.555%) TESTING 5991.35 (4.235%)
+16 TRAINING 2827.86 (1.575%) TESTING 6181.83 (4.235%) [7]
+17 TRAINING 2374.73 (1.355%) TESTING 5668.65 (3.77%)
+18 TRAINING 2194.12 (1.255%) TESTING 5572.82 (3.705%)
+19 TRAINING 2114.23 (1.155%) TESTING 5587.74 (3.71%) [8]
+20 TRAINING 1909.78 (1.15%) TESTING 5377.6 (3.64%)
+21 TRAINING 3064.62 (1.705%) TESTING 6642.78 (4.36%) [9]
+22 TRAINING 1832.23 (1.04%) TESTING 5386.12 (3.575%)
+23 TRAINING 1695.47 (0.95%) TESTING 5342.3 (3.61%)
+24 TRAINING 1699.28 (0.935%) TESTING 5331.84 (3.46%)
+25 TRAINING 1478.36 (0.835%) TESTING 5075.09 (3.335%)
+26 TRAINING 1528.62 (0.865%) TESTING 5221.1 (3.41%) [10]
+Saving network simple.mlp ... done.
+Loading the data file ... done.
+Database contains 10000 images of resolution 28x28 divided into 10 objects.
+Loading network simple.mlp ... done (layers of sizes 784 200 10)
+Error rate 2599.54 (3.42%)
+----------------------------------------------------------------------
+
+The computation produces a file simple.mlp containing the learnt
+perceptron.