def __init__(self, **kwargs):
kwargs['variables'] = create_in_trg(kwargs['name'])
Notifier.__init__(self)
UnitsNNReLU.__init__(self)
NN_BN.__init__(self, **kwargs)
CostSquaredError.__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):
kwargs['variables'] = create_in_trg(kwargs['name'])
Notifier.__init__(self)
UnitsNNTanh.__init__(self)
LSTM.__init__(self, act_fun_out=lambda x: T.nnet.sigmoid(x), **kwargs)
CostLogLikelihoodBinomial.__init__(self, **kwargs)
SparsityLee.__init__(self, **kwargs)
WeightRegularRNN.__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)
UnitsRBMGauss.__init__(self)
SparsityLee.__init__(self, **kwargs)
RBM.__init__(self, **kwargs)
CostCD.__init__(self, **kwargs)
WeightRegular.__init__(self, **kwargs)
MaxNormRegular.__init__(self, **kwargs)
SerializeLayer.__init__(self)
Approximator.__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_trg(kwargs['name'])
Notifier.__init__(self)
UnitsNNTanh.__init__(self)
RNN_Gated.__init__(self,
act_fun_out=lambda x: T.nnet.sigmoid(x),
**kwargs)
CostCrossEntropy.__init__(self, **kwargs)
SparsityLee.__init__(self, **kwargs)
weight_params = [
self.Wxh, self.Wxr, self.Wxu, self.Whh, self.Why, self.Whr,
self.Whu
]
WeightRegular.__init__(self, wl_targets=weight_params, **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)