main.py 文件源码

def __init__(self, incoming, num_filters, filter_size, stride=(1,1),
                 pad=0, untie_biases=False, kernel_size=3, kernel_pool_size=1,
                 W=lasagne.init.GlorotUniform(), b=lasagne.init.Constant(0.),
                 nonlinearity=lasagne.nonlinearities.rectify, flip_filters=True,
                 convolution=theano.tensor.nnet.conv2d, **kwargs):
        super(DoubleConvLayer, self).__init__(incoming, num_filters, filter_size,
                                              stride, 0, untie_biases, W, b,
                                              nonlinearity, flip_filters, n=2,
                                              **kwargs)
        self.convolution = convolution
        self.kernel_size = kernel_size
        self.pool_size = kernel_pool_size
        self.filter_offset = self.filter_size[0] - self.kernel_size + 1

        self.n_times = self.filter_offset ** 2
        self.rng = RandomStreams(123)