{"record":{"id":"212f67730849cacc","repo":"keras-team/keras","slug":"if-using-weights-imagenet-with-include-top-tr-212f67","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/mobilenet.py","lineNumber":120,"sourceCode":"            Set `classifier_activation=None` to return the logits of the \"top\"\n            layer. When loading pretrained weights, `classifier_activation`\n            can only be `None` or `\"softmax\"`.\n        name: String, the name of the model.\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. \"\n            f\"Received 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 and default size.\n    if input_shape is None:\n        default_size = 224\n    else:\n        if backend.image_data_format() == \"channels_first\":\n            rows = input_shape[1]\n            cols = input_shape[2]\n        else:\n            rows = input_shape[0]\n            cols = input_shape[1]\n\n        if rows == cols and rows in [128, 160, 192, 224]:\n            default_size = rows","sourceCodeStart":102,"sourceCodeEnd":138,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/applications/mobilenet.py#L102-L138","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/mobilenet.py:120 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"}