lcd.py 文件源码

def buildConvolution(self, name):
        filters = self.params.get('filters')
        nb_filter = self.params.get('nb_filter')
        assert filters
        assert nb_filter
        convs = []
        for fsz in filters:
            layer_name = '%s-conv-%d' % (name, fsz)
            conv = Convolution1D(
                nb_filter=nb_filter,
                filter_length=fsz,
                border_mode='valid',
                #activation='relu',
                subsample_length=1,
                init='glorot_uniform',
                #init=init,
                #init=lambda shape, name: initializations.uniform(shape, scale=0.01, name=name),
                W_constraint=maxnorm(self.params.get('w_maxnorm')),
                b_constraint=maxnorm(self.params.get('b_maxnorm')),
                #W_regularizer=regularizers.l2(self.params.get('w_l2')),
                #b_regularizer=regularizers.l2(self.params.get('b_l2')),
                #input_shape=(self.q_length, self.wdim),
                name=layer_name
            )
            convs.append(conv)
        self.layers['%s-convolution' % name] = convs