keras-team/keras · error · ValueError

ImageNet weights can only be loaded with NASNetLarge or NASN

Error message

ImageNet weights can only be loaded with NASNetLarge or NASNetMobile

What it means

Error "ImageNet weights can only be loaded with NASNetLarge or NASNetMobile" thrown in keras-team/keras.

Source

Thrown at keras/src/applications/nasnet.py:304

            model.load_weights(weights_path)
        elif default_size == 331:  # large version
            if include_top:
                weights_path = file_utils.get_file(
                    "nasnet_large.h5",
                    NASNET_LARGE_WEIGHT_PATH,
                    cache_subdir="models",
                    file_hash="11577c9a518f0070763c2b964a382f17",
                )
            else:
                weights_path = file_utils.get_file(
                    "nasnet_large_no_top.h5",
                    NASNET_LARGE_WEIGHT_PATH_NO_TOP,
                    cache_subdir="models",
                    file_hash="d81d89dc07e6e56530c4e77faddd61b5",
                )
            model.load_weights(weights_path)
        else:
            raise ValueError(
                "ImageNet weights can only be loaded with NASNetLarge"
                " or NASNetMobile"
            )
    elif weights is not None:
        model.load_weights(weights)

    return model


@keras_export(
    [
        "keras.applications.nasnet.NASNetMobile",
        "keras.applications.NASNetMobile",
    ]
)
def NASNetMobile(
    input_shape=None,
    include_top=True,

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/applications/nasnet.py:304 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25). Data as JSON: /api/errors/af4b1221f7fbe0f4. Report an issue: GitHub.