Exceptions for package
keras
github stars 52268

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views 885
The channel dimension of the inputs should be defined. Found `None`. / keras
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The number of input channels must be evenly divisible by the number of groups. Received groups=(param1), but the input has (param1) channels (full input shape is (param1)). / keras
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Received non-atomic and non-sequence element: (param1) / keras
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num_oov_indices must be greater than or equal to 0. You passed %s / keras
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views 80
Invalid merge mode. Merge mode should be one of ("sum", "mul", "ave", "concat", None) / keras
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views 77
The global policy can only be set in TensorFlow 2 or if V2 dtype behavior has been set. To enable V2 dtype behavior, call "tf.compat.v1.keras.layers.enable_v2_dtype_behavior()" / keras
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views 65
The length of boundaries should be 1 less than the length of values / keras
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views 34
`momentum` must be between [0, 1]. / keras
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views 28
end_index must be lower than the length of the data. Got: end_index=%s / keras
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views 23
`inputs` should be a list. / keras
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views 939
When providing an infinite dataset, you must specify the number of steps to run (if you did not intend to create an infinite dataset, make sure to not call `repeat()` on the dataset). / keras
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views 684
It looks like you are subclassing `Model` and you forgot to call `super(YourClass, self).__init__()`. Always start with this line. / keras
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