Python NNBase Examples

Example #1

File: autoencoder.py Project: BenJamesbabala/chainer-libDNN

    def __init__(self, model, gpu=-1):
        NNBase.__init__(self, model, gpu)

        self.optimizer = Opt.Adam()
        self.optimizer.setup(self.model)

        self.loss_function = F.mean_squared_error
        self.loss_param = {}

Example #2

    def __init__(self, model, gpu=-1):
        NNBase.__init__(self, model, gpu)

        self.optimizer = Opt.Adam()
        self.optimizer.setup(self.model)

        self.loss_function = F.softmax_cross_entropy
        self.loss_param = {}

Example #3

    def __init__(self, model, gpu=-1):
        NNBase.__init__(self, model, gpu)

        self.optimizer = Opt.Adam()
        self.optimizer.setup(self.model)

        self.loss_function = F.mean_squared_error
        self.loss_param = {}