def METHOD_NAME():
    return {
        "name": "image_column_name",
        "type": "image",
        "tied": None,
        "encoder": {
            "type": "stacked_cnn",
            "conv_layers": None,
            "num_conv_layers": None,
            "filter_size": 3,
            "num_filters": 256,
            "strides": (1, 1),
            "padding": "valid",
            "dilation_rate": (1, 1),
            "conv_use_bias": True,
            "conv_weights_initializer": "xavier_uniform",
            "conv_bias_initializer": "zeros",
            "conv_norm": None,
            "conv_norm_params": None,
            "conv_activation": "relu",
            "conv_dropout": 0,
            "pool_function": "max",
            "pool_size": (2, 2),
            "pool_strides": None,
            "fc_layers": None,
            "num_fc_layers": 1,
            "output_size": 16,
            "fc_use_bias": True,
            "fc_weights_initializer": "xavier_uniform",
            "fc_bias_initializer": "zeros",
            "fc_norm": None,
            "fc_norm_params": None,
            "fc_activation": "relu",
            "fc_dropout": 0,
        },
        "preprocessing": {
            "height": 28,
            "width": 28,
            "num_channels": 1,
            "scaling": "pixel_normalization",
        },
    }