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mnist_cnf.py
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mnist_cnf.py
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from __future__ import division, print_function, absolute_import
import tensorflow as tf
from tefla.core.lr_policy import StepDecayPolicy
from tefla.da.standardizer import SamplewiseStandardizer
from tefla.utils import util
cnf = {
'name': __name__.split('.')[-1],
'classification': True,
'iterator_type': 'parallel', # parallel or queued
'batch_size_train': 128,
'batch_size_test': 128,
'aug_params': {
'zoom_range': (1 / 1.05, 1.05),
'rotation_range': (-5, 5),
'shear_range': (0, 0),
'translation_range': (-2, 2),
'do_flip': False,
'allow_stretch': True,
},
'standardizer': SamplewiseStandardizer(clip=6),
'num_epochs': 30,
'summary_every': 5,
'lr_policy': StepDecayPolicy(
schedule={
0: 0.001,
15: 0.0001,
}
),
'optimizer': tf.train.AdamOptimizer(),
'validation_scores': [('validation accuracy', util.accuracy_wrapper), ('validation kappa', util.kappa_wrapper)],
}