
Input data size [72,1022000] = 72 channels, 1022000 frames
Finding 72 ICA components using extended ICA.
Kurtosis will be calculated initially every 1 blocks using 6000 data points.
Decomposing 197 frames per ICA weight ((5184)^2 = 1022000 weights, Initial learning rate will be 0.001, block size 70.
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: -1.90249 to 2.21533
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.
Lowering learning rate to 1.8248e-05 and starting again.
step 1 - lrate 0.000018, wchange 14251678137501516.00000000, angledelta  0.0 deg
Lowering learning rate to 1.31386e-05 and starting again.
step 1 - lrate 0.000013, wchange 454687073773.74615479, angledelta  0.0 deg
Lowering learning rate to 9.45977e-06 and starting again.
step 1 - lrate 0.000009, wchange 248073263.87265483, angledelta  0.0 deg
Lowering learning rate to 8.51379e-06 and starting again.
step 1 - lrate 0.000009, wchange 35915091.18699410, angledelta  0.0 deg
step 2 - lrate 0.000009, wchange 1280635709870419.25000000, angledelta  0.0 deg
Lowering learning rate to 6.12993e-06 and starting again.
step 1 - lrate 0.000006, wchange 274627.27628984, angledelta  0.0 deg
step 2 - lrate 0.000006, wchange 75693437592.18565369, angledelta  0.0 deg
step 3 - lrate 0.000005, wchange 1671344039474803.50000000, angledelta  1.0 deg
Lowering learning rate to 3.53084e-06 and starting again.
step 1 - lrate 0.000004, wchange 1314.97337670, angledelta  0.0 deg
step 2 - lrate 0.000004, wchange 1753859.29994258, angledelta  0.0 deg
step 3 - lrate 0.000004, wchange 2387399463.70537138, angledelta  8.2 deg
step 4 - lrate 0.000003, wchange 723023842134.56762695, angledelta  8.2 deg
step 5 - lrate 0.000002, wchange 66634748909649.40625000, angledelta  8.2 deg
step 6 - lrate 0.000002, wchange 2294327773305947.50000000, angledelta  8.2 deg
Lowering learning rate to 1.30161e-06 and starting again.
step 1 - lrate 0.000001, wchange 32.77263722, angledelta  0.0 deg
step 2 - lrate 0.000001, wchange 110.68586390, angledelta  0.0 deg
step 3 - lrate 0.000001, wchange 1582.69891741, angledelta 60.9 deg
step 4 - lrate 0.000001, wchange 21048.16557891, angledelta  0.1 deg
step 5 - lrate 0.000001, wchange 285423.49879662, angledelta  0.2 deg
step 6 - lrate 0.000001, wchange 3870483.83896423, angledelta  0.3 deg
step 7 - lrate 0.000001, wchange 52485681.70257562, angledelta  0.3 deg
step 8 - lrate 0.000001, wchange 711731920.50820756, angledelta  0.4 deg
step 9 - lrate 0.000001, wchange 9651438311.28011322, angledelta  0.5 deg
step 10 - lrate 0.000001, wchange 61402974357.56158447, angledelta  0.5 deg
step 11 - lrate 0.000001, wchange 248689767409.04626465, angledelta  0.6 deg
step 12 - lrate 0.000001, wchange 699926151163.78833008, angledelta  0.6 deg
step 13 - lrate 0.000001, wchange 1469615157534.29223633, angledelta  0.6 deg
step 14 - lrate 0.000000, wchange 2438014098425.02685547, angledelta  0.7 deg
step 15 - lrate 0.000000, wchange 3347044942621.93945312, angledelta  0.7 deg
step 16 - lrate 0.000000, wchange 3947174580339.30615234, angledelta  0.7 deg
step 17 - lrate 0.000000, wchange 4120584838723.93945312, angledelta  0.7 deg
step 18 - lrate 0.000000, wchange 3901017704241.54638672, angledelta  0.7 deg
step 19 - lrate 0.000000, wchange 3414947953803.45312500, angledelta  0.8 deg
