def __init__(self, filenamePostfix):
self.runningTime = {}
self.manipulationPercentage = {}
self.l2Distance = {}
self.l1Distance = {}
self.l0Distance = {}
self.confidence = {}
assure_path_exists("dataCollection/")
self.fileName = "dataCollection/%s.txt" % filenamePostfix
self.fileHandler = open(self.fileName, 'a')
self.maxFeatures = {}
def __init__(self, data_set):
self.data_set = data_set
self.num_of_classes = 84
self.optimizer = 'Adadelta'
self.regParam = 0.001
self.height = 32
self.width = 128
self.batch_size = 32
self.loss = ctc(32, 10)
self.util = utils(32, 1, CHAR_VECTOR, 32, 128)
assure_path_exists("%s_pic/" % self.data_set)
self._build_model()
def __init__(self, data_set, abits, wbits, network_type, seed):
self.network_type = network_type
self.abits = abits
self.wbits = wbits
self.data_set = data_set
self.seed = seed
self.model = Sequential()
cfDeep = self.myCF(self)
if self.data_set == 'mnist':
cfg = 'config_MNIST'
if self.data_set == 'fashion':
cfg = 'config_FASHION'
if self.data_set == 'cifar10':
cfg = 'config_CIFAR-10'
self.cf = Config(cfg, cmd_args=cfDeep.myDict)
print("Dataset: " + str("%s_pic/" % self.data_set))
assure_path_exists("%s_pic/" % self.data_set)
def __init__(self, data_set):
self.data_set = data_set
self.model = Sequential()
assure_path_exists("%s_pic/" % self.data_set)