convolutional.py 文件源码

def build(self):
        input_dim = self.input_shape[2]
        self.input = T.tensor3()
        self.W_shape = (self.nb_filter, input_dim, self.filter_length, 1)
        self.W = self.init(self.W_shape)
        self.b = shared_zeros((self.nb_filter,))
        self.params = [self.W, self.b]
        self.regularizers = []

        if self.W_regularizer:
            self.W_regularizer.set_param(self.W)
            self.regularizers.append(self.W_regularizer)

        if self.b_regularizer:
            self.b_regularizer.set_param(self.b)
            self.regularizers.append(self.b_regularizer)

        if self.activity_regularizer:
            self.activity_regularizer.set_layer(self)
            self.regularizers.append(self.activity_regularizer)

        if self.initial_weights is not None:
            self.set_weights(self.initial_weights)
            del self.initial_weights