
Input data size [72,926500] = 72 channels, 926500 frames
Finding 72 ICA components using extended ICA.
Kurtosis will be calculated initially every 1 blocks using 6000 data points.
Decomposing 178 frames per ICA weight ((5184)^2 = 926500 weights, Initial learning rate will be 0.001, block size 69.
Learning rate will be multiplied by 0.98 whenever angledelta >= 60 deg.
More than 32 channels: default stopping weight change 1E-7
Training will end when wchange < 1e-07 or after 512 steps.
Online bias adjustment will be used.
Removing mean of each channel ...
Final training data range: -3.29461 to 2.91569
Computing the sphering matrix...
Starting weights are the identity matrix ...
Sphering the data ...
Beginning ICA training ... first training step may be slow ...
Lowering learning rate to 0.0009 and starting again.
Lowering learning rate to 0.00081 and starting again.
Lowering learning rate to 0.000729 and starting again.
Lowering learning rate to 0.0006561 and starting again.
Lowering learning rate to 0.00059049 and starting again.
Lowering learning rate to 0.000531441 and starting again.
Lowering learning rate to 0.000478297 and starting again.
Lowering learning rate to 0.000430467 and starting again.
Lowering learning rate to 0.00038742 and starting again.
Lowering learning rate to 0.000348678 and starting again.
Lowering learning rate to 0.000313811 and starting again.
Lowering learning rate to 0.00028243 and starting again.
Lowering learning rate to 0.000254187 and starting again.
Lowering learning rate to 0.000228768 and starting again.
Lowering learning rate to 0.000205891 and starting again.
Lowering learning rate to 0.000185302 and starting again.
Lowering learning rate to 0.000166772 and starting again.
Lowering learning rate to 0.000150095 and starting again.
Lowering learning rate to 0.000135085 and starting again.
Lowering learning rate to 0.000121577 and starting again.
Lowering learning rate to 0.000109419 and starting again.
Lowering learning rate to 9.84771e-05 and starting again.
Lowering learning rate to 8.86294e-05 and starting again.
Lowering learning rate to 7.97664e-05 and starting again.
Lowering learning rate to 7.17898e-05 and starting again.
Lowering learning rate to 6.46108e-05 and starting again.
Lowering learning rate to 5.81497e-05 and starting again.
Lowering learning rate to 5.23348e-05 and starting again.
Lowering learning rate to 4.71013e-05 and starting again.
Lowering learning rate to 4.23912e-05 and starting again.
Lowering learning rate to 3.8152e-05 and starting again.
Lowering learning rate to 3.43368e-05 and starting again.
Lowering learning rate to 3.09032e-05 and starting again.
Lowering learning rate to 2.78128e-05 and starting again.
Lowering learning rate to 2.50316e-05 and starting again.
Lowering learning rate to 2.25284e-05 and starting again.
Lowering learning rate to 2.02756e-05 and starting again.
step 1 - lrate 0.000020, wchange 19901189169746552.00000000, angledelta  0.0 deg
Lowering learning rate to 1.45984e-05 and starting again.
step 1 - lrate 0.000015, wchange 551629817987.98461914, angledelta  0.0 deg
Lowering learning rate to 1.05109e-05 and starting again.
step 1 - lrate 0.000011, wchange 285185428.78416765, angledelta  0.0 deg
Lowering learning rate to 9.45977e-06 and starting again.
step 1 - lrate 0.000009, wchange 40719346.87249984, angledelta  0.0 deg
step 2 - lrate 0.000009, wchange 1656710971805125.00000000, angledelta  0.0 deg
Lowering learning rate to 6.81103e-06 and starting again.
step 1 - lrate 0.000007, wchange 300683.78208825, angledelta  0.0 deg
step 2 - lrate 0.000007, wchange 90725027414.24636841, angledelta  0.0 deg
step 3 - lrate 0.000005, wchange 2172601319029986.50000000, angledelta  0.6 deg
Lowering learning rate to 3.92315e-06 and starting again.
step 1 - lrate 0.000004, wchange 1385.44046224, angledelta  0.0 deg
step 2 - lrate 0.000004, wchange 1949606.72133642, angledelta  0.0 deg
step 3 - lrate 0.000004, wchange 2796034744.90004253, angledelta  7.9 deg
step 4 - lrate 0.000003, wchange 883785513748.85852051, angledelta  7.9 deg
step 5 - lrate 0.000003, wchange 84358931344701.95312500, angledelta  7.9 deg
step 6 - lrate 0.000002, wchange 3043734804209965.50000000, angledelta  7.9 deg
Lowering learning rate to 1.44623e-06 and starting again.
step 1 - lrate 0.000001, wchange 32.55570864, angledelta  0.0 deg
step 2 - lrate 0.000001, wchange 115.82449170, angledelta  0.0 deg
step 3 - lrate 0.000001, wchange 1688.40987792, angledelta 60.4 deg
step 4 - lrate 0.000001, wchange 22884.43145664, angledelta  0.1 deg
step 5 - lrate 0.000001, wchange 316237.30180350, angledelta  0.1 deg
step 6 - lrate 0.000001, wchange 4370046.92973353, angledelta  0.1 deg
step 7 - lrate 0.000001, wchange 60389176.94843610, angledelta  0.1 deg
step 8 - lrate 0.000001, wchange 834511111.41684067, angledelta  0.1 deg
step 9 - lrate 0.000001, wchange 11532013204.44848251, angledelta  0.2 deg
step 10 - lrate 0.000001, wchange 74571748097.51550293, angledelta  0.2 deg
step 11 - lrate 0.000001, wchange 306019294005.49859619, angledelta  0.2 deg
step 12 - lrate 0.000001, wchange 870453717143.65771484, angledelta  0.2 deg
step 13 - lrate 0.000001, wchange 1843389759641.64501953, angledelta  0.2 deg
step 14 - lrate 0.000000, wchange 3079458412688.35156250, angledelta  0.2 deg
step 15 - lrate 0.000000, wchange 4251915942939.44873047, angledelta  0.2 deg
step 16 - lrate 0.000000, wchange 5038252988365.66113281, angledelta  0.2 deg
step 17 - lrate 0.000000, wchange 5280839862514.18847656, angledelta  0.2 deg
step 18 - lrate 0.000000, wchange 5016709241103.09277344, angledelta  0.2 deg
step 19 - lrate 0.000000, wchange 4404666362604.16796875, angledelta  0.2 deg
step 20 - lrate 0.000000, wchange 3630741259232.15673828, angledelta  0.2 deg
step 21 - lrate 0.000000, wchange 2845296083457.74609375, angledelta  0.2 deg
step 22 - lrate 0.000000, wchange 2141343677605.47851562, angledelta  0.2 deg
