def __init__(self, nnpacker, logging=False):
self.nnpacker = nnpacker
model = FunctionSet(**nnpacker.getFunctions())
optimizer = optimizers.SGD()
lossFunction = F.softmax_cross_entropy
params = {"epoch": 20, "batchsize": 100, "logging": logging}
NNmanager.__init__(self, model, optimizer, lossFunction, **params)
def __init__(self, nnpacker, logging=False):
self.nnpacker = nnpacker
model = FunctionSet(**nnpacker.getFunctions())
optimizer = optimizers.SGD()
lossFunction = F.softmax_cross_entropy
params = {'epoch': 20, 'batchsize': 100, 'logging': logging}
NNmanager.__init__(self, model, optimizer, lossFunction, **params)
def __init__(self, logging=False):
model = FunctionSet(l1=F.Linear(784, 100),
l2=F.Linear(100, 100),
l3=F.Linear(100, 10))
optimizer = optimizers.SGD()
lossFunction = F.softmax_cross_entropy
params = {'epoch': 20, 'batchsize': 100, 'logging': logging}
NNmanager.__init__(self, model, optimizer, lossFunction, **params)
def __init__(self, logging=False):
model = Chain(
l1=L.Linear(784, 100),
l2=L.Linear(100, 100),
l3=L.Linear(100, 10)
)
optimizer = optimizers.SGD()
lossFunction = F.softmax_cross_entropy
params = {'epoch': 5, 'batchsize': 1000, 'logging': logging}
NNmanager.__init__(self, model, optimizer, lossFunction, gpu=False, **params)
