da.py 文件源码

def __init__(self,
                 input,
                 nvis,
                 nhid,
                 rnd=None,
                 theano_rng=None,
                 bhid=None,
                 cost_type=CostType.MeanSquared,
                 momentum=1,
                 L1_reg=-1,
                 L2_reg=-1,
                 sparse_initialize=False,
                 nonlinearity=NonLinearity.TANH,
                 bvis=None,
                 tied_weights=True,
                 reverse=False,
                 corruption_level=0.):
        super(DenoisingAutoencoder, self).__init__(
            input=input,
            nvis=nvis,
            nhid=nhid,
            rnd=rnd,
            bhid=bhid,
            cost_type=cost_type,
            momentum=momentum,
            L1_reg=L1_reg,
            L2_reg=L2_reg,
            sparse_initialize=sparse_initialize,
            nonlinearity=nonlinearity,
            bvis=bvis,
            tied_weights=tied_weights,
            reverse=reverse)
        self.corruption_level = corruption_level

        if not theano_rng:
            theano_rng = RandomStreams(rnd.randint(2 ** 30))
        self.theano_rng = theano_rng

    # Overrite this function: