keras-team/keras · error · ValueError

If using `weights='imagenet'` with `include_top=True`, `clas

Error message

If using `weights='imagenet'` with `include_top=True`, `classes` should be 1000.  Received classes={classes}

What it means

Error "If using `weights='imagenet'` with `include_top=True`, `classes` should be 1000. Received classes={classes}" thrown in keras-team/keras.

Source

Thrown at keras/src/applications/resnet.py:120

            pretrained weights, `classifier_activation` can only be
            `None` or `"softmax"`.
        name: The name of the model (string).

    Returns:
        A Model instance.
    """

    if not (weights in {"imagenet", None} or file_utils.exists(weights)):
        raise ValueError(
            "The `weights` argument should be either "
            "`None` (random initialization), 'imagenet' "
            "(pre-training on ImageNet), "
            "or the path to the weights file to be loaded.  Received: "
            f"weights={weights}"
        )

    if weights == "imagenet" and include_top and classes != 1000:
        raise ValueError(
            "If using `weights='imagenet'` with `include_top=True`, "
            "`classes` should be 1000.  "
            f"Received classes={classes}"
        )

    # Determine proper input shape
    input_shape = imagenet_utils.obtain_input_shape(
        input_shape,
        default_size=224,
        min_size=32,
        data_format=backend.image_data_format(),
        require_flatten=include_top,
        weights=weights,
    )

    if input_tensor is None:
        img_input = layers.Input(shape=input_shape)
    else:

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/applications/resnet.py:120 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/e3e2d8fb9ebc7cf6. Report an issue: GitHub.