word_seg_cnn.py 文件源码

def build_cnn(kernel_size, nb_filters, embed_x):
    """

    """
    name = 'cnn_' + str(kernel_size)
    cnn_x = Conv1D(filters=nb_filters,
            kernel_size=kernel_size,
            padding='valid',
            activation='tanh')(embed_x)
            # kernel_regularizer=regularizers.l2(0.01),
            # kernel_constraint=maxnorm(3.0),
            # activity_regularizer=regularizers.l2(0.01))(embed_x)
    maxPooling_x = MaxPooling1D(kernel_size)(cnn_x)
    return maxPooling_x