Using parameters:
train file =  train1.txt
train file =  test1.txt
nLevels =  2
D =  [2, 3, 1]
alpha =  0.01
# iterations =  200
 
Initial weights:
Level  0
W[ 0 ][ 0 ][ 0 ] = 0.6888    W[ 0 ][ 0 ][ 1 ] = 0.5159    W[ 0 ][ 0 ][ 2 ] = -0.1589     
W[ 0 ][ 1 ][ 0 ] = -0.4822    W[ 0 ][ 1 ][ 1 ] = 0.0225    W[ 0 ][ 1 ][ 2 ] = -0.1901     
W[ 0 ][ 2 ][ 0 ] = 0.5676    W[ 0 ][ 2 ][ 1 ] = -0.3934    W[ 0 ][ 2 ][ 2 ] = -0.0468     
Level  1
W[ 1 ][ 0 ][ 0 ] = 0.1668     
W[ 1 ][ 1 ][ 0 ] = 0.8162     
W[ 1 ][ 2 ][ 0 ] = 0.0094     
W[ 1 ][ 3 ][ 0 ] = -0.4363     
 
Iteration  10 Train accuracy = 0.500 Test accuracy = 0.478
Iteration  20 Train accuracy = 0.500 Test accuracy = 0.514
Iteration  30 Train accuracy = 0.542 Test accuracy = 0.558
Iteration  40 Train accuracy = 0.583 Test accuracy = 0.586
Iteration  50 Train accuracy = 0.583 Test accuracy = 0.586
Iteration  60 Train accuracy = 0.625 Test accuracy = 0.602
Iteration  70 Train accuracy = 0.667 Test accuracy = 0.606
Iteration  80 Train accuracy = 0.750 Test accuracy = 0.627
Iteration  90 Train accuracy = 0.792 Test accuracy = 0.703
Iteration  100 Train accuracy = 0.917 Test accuracy = 0.839
Iteration  110 Train accuracy = 0.917 Test accuracy = 0.859
Iteration  120 Train accuracy = 0.917 Test accuracy = 0.859
Iteration  130 Train accuracy = 0.917 Test accuracy = 0.871
Iteration  140 Train accuracy = 0.917 Test accuracy = 0.892
Iteration  150 Train accuracy = 0.958 Test accuracy = 0.916
Iteration  160 Train accuracy = 0.958 Test accuracy = 0.920
Iteration  170 Train accuracy = 0.958 Test accuracy = 0.928
Iteration  180 Train accuracy = 1.000 Test accuracy = 0.932
Iteration  190 Train accuracy = 1.000 Test accuracy = 0.932
Iteration  200 Train accuracy = 1.000 Test accuracy = 0.932
 
Final learned weights:
Level  0
W[ 0 ][ 0 ][ 0 ] = 1.9120    W[ 0 ][ 0 ][ 1 ] = -1.1676    W[ 0 ][ 0 ][ 2 ] = -0.4393     
W[ 0 ][ 1 ][ 0 ] = -2.0314    W[ 0 ][ 1 ][ 1 ] = 1.4596    W[ 0 ][ 1 ][ 2 ] = 0.0564     
W[ 0 ][ 2 ][ 0 ] = 1.1323    W[ 0 ][ 2 ][ 1 ] = 0.6395    W[ 0 ][ 2 ][ 2 ] = -0.4231     
Level  1
W[ 1 ][ 0 ][ 0 ] = 1.8166     
W[ 1 ][ 1 ][ 0 ] = 1.8283     
W[ 1 ][ 2 ][ 0 ] = 0.5742     
W[ 1 ][ 3 ][ 0 ] = -1.2882