ca.py 文件源码

def __init__(self,
                 input,
                 nvis,
                 nhid,
                 rnd=None,
                 theano_rng=None,
                 bhid=None,
                 sigma=0.06,
                 nonlinearity=NonLinearity.SIGMOID,
                 cost_type=CostType.MeanSquared,
                 bvis=None):

        self.sigma = sigma
        super(ContractiveAutoencoder, self).__init(
            input=input,
            nvis=nvis,
            nhid=nhid,
            rnd=rnd,
            bhid=bhid,
            cost_type=cost_type,
            nonlinearity=nonlinearity,
            sparse_initialize=True,
            bvis=bvis)
        # Create a Theano random generator that gives symbolic random values
        if not theano_rng:
            theano_rng = RandomStreams(rnd.randint(2**30))
        self.theano_rng = theano_rng