def METHOD_NAME(x, nb_filter, nb_row, nb_col, border_mode='same', subsample=(1, 1), bias=False):
    channel_axis = -1
    x = Convolution2D(nb_filter, (nb_row, nb_col), strides=subsample, padding=border_mode, use_bias=bias)(x)
    x = BatchNormalization(axis=channel_axis)(x)
    x = Activation('relu')(x)
    return x