Exceptions for package
keras
github stars 52268

5
views 857
The channel dimension of the inputs should be defined. Found `None`. / keras
5
views 147
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
5
views 119
Received non-atomic and non-sequence element: (param1) / keras
5
views 81
num_oov_indices must be greater than or equal to 0. You passed %s / keras
5
views 75
Invalid merge mode. Merge mode should be one of ("sum", "mul", "ave", "concat", None) / keras
5
views 69
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
5
views 58
The length of boundaries should be 1 less than the length of values / keras
5
views 33
`momentum` must be between [0, 1]. / keras
5
views 26
end_index must be lower than the length of the data. Got: end_index=%s / keras
5
views 21
`inputs` should be a list. / keras
4
views 910
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
4
views 633
It looks like you are subclassing `Model` and you forgot to call `super(YourClass, self).__init__()`. Always start with this line. / keras
First Prev Page 2 of 68 Next Last