Mercurial > ift6266
diff deep/convolutional_dae/scdae.py @ 314:2937f2a421aa
Print the error sometimes in the pretrain loop.
| author | Arnaud Bergeron <abergeron@gmail.com> |
|---|---|
| date | Thu, 01 Apr 2010 14:28:50 -0400 |
| parents | ef28cbb5f464 |
| children | 6143b23e2610 |
line wrap: on
line diff
--- a/deep/convolutional_dae/scdae.py Thu Apr 01 13:44:30 2010 -0400 +++ b/deep/convolutional_dae/scdae.py Thu Apr 01 14:28:50 2010 -0400 @@ -157,13 +157,20 @@ series = {} h5f = tables.openFile('series.h5', 'w') + class PrintWrap(object): + def __init__(self, series): + self.series = series + + def append(self, idx, value): + print idx, value + self.series.append(idx, value) series['recons_error'] = AccumulatorSeriesWrapper( - base_series=ErrorSeries(error_name='reconstruction_error', - table_name='reconstruction_error', - hdf5_file=h5f, - index_names=('layer', 'epoch'), - title="Reconstruction error (mse)"), + base_series=PrintWrap(ErrorSeries(error_name='reconstruction_error', + table_name='reconstruction_error', + hdf5_file=h5f, + index_names=('layer', 'epoch'), + title="Reconstruction error (mse)")), reduce_every=100) series['train_error'] = AccumulatorSeriesWrapper( @@ -203,7 +210,7 @@ pretrain_funcs, trainf, evalf, net = build_funcs( img_size = (32, 32), batch_size=batch_size, filter_sizes=[(5,5), (3,3)], - num_filters=[12, 4], subs=[(2,2), (2,2)], noise=[0.2, 0.2], + num_filters=[20, 4], subs=[(2,2), (2,2)], noise=[0.2, 0.2], mlp_sizes=[500], out_size=10, dtype=numpy.float32, pretrain_lr=0.001, train_lr=0.1)