def __init__(self, **kwargs):
kwargs['variables'] = create_in(kwargs['name'])
Notifier.__init__(self)
UnitsRBMSigmoid.__init__(self)
UnitsDropOut.__init__(self, **kwargs)
RBM.__init__(self, **kwargs)
CostPCD.__init__(self, **kwargs)
WeightRegular.__init__(self, **kwargs)
SerializeLayer.__init__(self)
Monitor.__init__(self)
self.notify(Notifier.MAKE_FINISHED)
self.notify(Notifier.COMPILE_FUNCTIONS)
self.notify(Notifier.REGISTER_PLOTTING)
def __init__(self, **kwargs):
kwargs['variables'] = create_in_trg(kwargs['name'])
Notifier.__init__(self)
UnitsNNSigmoid.__init__(self)
UnitsDropOut.__init__(self, **kwargs)
NN_BN.__init__(self, **kwargs)
CostCrossEntropy.__init__(self, **kwargs)
WeightRegular.__init__(self, **kwargs)
MaxNormRegular.__init__(self, **kwargs)
SparsityLee.__init__(self, **kwargs)
SerializeLayer.__init__(self)
Monitor.__init__(self)
self.notify(Notifier.MAKE_FINISHED)
self.notify(Notifier.COMPILE_FUNCTIONS)
self.notify(Notifier.REGISTER_PLOTTING)
def __init__(self, **kwargs):
assert kwargs[
"convolutional"] == True, "Set 'convolutional = True' in configuration."
kwargs['variables'] = create_in_conv(kwargs['name'])
Notifier.__init__(self)
UnitsCRBMSigmoid.__init__(self)
UnitsDropOut.__init__(self)
CRBM.__init__(self, **kwargs)
CostCD.__init__(self, **kwargs)
MaxNormRegular.__init__(self, **kwargs)
WeightRegular.__init__(self, **kwargs)
SerializeLayer.__init__(self)
Monitor.__init__(self)
self.notify(Notifier.MAKE_FINISHED)
self.notify(Notifier.COMPILE_FUNCTIONS)
self.notify(Notifier.REGISTER_PLOTTING)
def __init__(self, **kwargs):
kwargs['variables'] = create_in(kwargs['name'])
Notifier.__init__(self)
UnitsNNLinear.__init__(self)
UnitsDropOut.__init__(self, **kwargs)
NonNegative.__init__(self, **kwargs)
NNAuto.__init__(self, **kwargs)
CostSquaredError.__init__(self, **kwargs)
SparsityLee.__init__(self, **kwargs)
WeightRegular.__init__(self, **kwargs)
SerializeLayer.__init__(self)
Monitor.__init__(self)
Plotter.__init__(self)
self.notify(Notifier.MAKE_FINISHED)
self.notify(Notifier.COMPILE_FUNCTIONS)
self.notify(Notifier.REGISTER_PLOTTING)
def __init__(self, **kwargs):
kwargs['variables'] = create_in(kwargs['name'])
Notifier.__init__(self)
UnitsRBMReLU.__init__(self)
UnitsDropOut.__init__(self, **kwargs)
SparsityLee.__init__(self, **kwargs)
RBM.__init__(self, **kwargs)
CostCD.__init__(self, **kwargs)
WeightRegular.__init__(self, **kwargs)
MaxNormRegular.__init__(self, **kwargs)
SerializeLayer.__init__(self)
ActivationCrop.__init__(self, **kwargs)
Monitor.__init__(self)
self.notify(Notifier.MAKE_FINISHED)
self.notify(Notifier.COMPILE_FUNCTIONS)
self.notify(Notifier.REGISTER_PLOTTING)
def __init__(self, **kwargs):
assert kwargs[
"convolutional"] == True, "Set 'convolutional = True' in configuration."
kwargs['variables'] = create_in_trg_conv(kwargs['name'])
Notifier.__init__(self)
Plotter.__init__(self)
UnitsCNNLinear.__init__(self, **kwargs)
UnitsDropOut.__init__(self, **kwargs)
CNN_BN.__init__(self, **kwargs)
CostCrossEntropy.__init__(self, **kwargs)
WeightRegular.__init__(self, **kwargs)
MaxNormRegular.__init__(self, **kwargs)
SparsityLeeConv.__init__(self, **kwargs)
SerializeLayer.__init__(self)
Monitor.__init__(self)
self.notify(Notifier.MAKE_FINISHED)
self.notify(Notifier.COMPILE_FUNCTIONS)
self.notify(Notifier.REGISTER_PLOTTING)
def __init__(self, **kwargs):
assert kwargs[
"convolutional"] == True, "Set 'convolutional = True' in configuration."
kwargs['variables'] = create_in_trg_conv(kwargs['name'])
Notifier.__init__(self)
Plotter.__init__(self)
try:
UnitsCNNReLU.__init__(self,
downsample_out=kwargs['downsample_out'])
except KeyError:
raise ValueError("Entry 'downsample_out' in kwargs needed.")
UnitsDropOut.__init__(self, **kwargs)
CNN_BN.__init__(self, **kwargs)
CostCrossEntropy.__init__(self)
WeightRegular.__init__(self, **kwargs)
SparsityLeeConv.__init__(self, **kwargs)
MaxNormRegular.__init__(self, **kwargs)
SerializeLayer.__init__(self)
Monitor.__init__(self)
self.notify(Notifier.MAKE_FINISHED)
self.notify(Notifier.COMPILE_FUNCTIONS)
self.notify(Notifier.REGISTER_PLOTTING)
