{"record":{"id":"ab4b19cccf96a414","repo":"keras-team/keras","slug":"if-using-weights-imagenet-with-include-top-tr-ab4b19","errorCode":null,"errorMessage":"If using `weights='imagenet'` with `include_top=True`, `classes` should be 1000.  Received classes={classes}","messagePattern":"If using `weights='imagenet'` with `include_top=True`, `classes` should be 1000\\.  Received classes=(.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/applications/vgg19.py","lineNumber":105,"sourceCode":"            `classifier_activation=None` to return the logits of the \"top\"\n            layer.  When loading pretrained weights, `classifier_activation` can\n            only be `None` or `\"softmax\"`.\n        name: The name of the model (string).\n\n    Returns:\n        A model instance.\n    \"\"\"\n    if not (weights in {\"imagenet\", None} or file_utils.exists(weights)):\n        raise ValueError(\n            \"The `weights` argument should be either \"\n            \"`None` (random initialization), 'imagenet' \"\n            \"(pre-training on ImageNet), \"\n            \"or the path to the weights file to be loaded.  Received: \"\n            f\"weights={weights}\"\n        )\n\n    if weights == \"imagenet\" and include_top and classes != 1000:\n        raise ValueError(\n            \"If using `weights='imagenet'` with `include_top=True`, \"\n            \"`classes` should be 1000.  \"\n            f\"Received classes={classes}\"\n        )\n\n    # Determine proper input shape\n    input_shape = imagenet_utils.obtain_input_shape(\n        input_shape,\n        default_size=224,\n        min_size=32,\n        data_format=backend.image_data_format(),\n        require_flatten=include_top,\n        weights=weights,\n    )\n\n    if input_tensor is None:\n        img_input = layers.Input(shape=input_shape)\n    else:","sourceCodeStart":87,"sourceCodeEnd":123,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/applications/vgg19.py#L87-L123","documentation":"Error \"If using `weights='imagenet'` with `include_top=True`, `classes` should be 1000.  Received classes={classes}\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/applications/vgg19.py:105 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"7a34a03db60bf60042242d6a556fc3be119046a5","analyzedAt":"2026-08-25T21:25:25.994Z","schemaVersion":2},"datasetVersion":"2026-08-26T02:17:13.382Z"}