- Opaque Execution: Because of its high-level API, debugging complex models in Keras can be difficult. The abstraction layers make it harder to trace issues, especially when problems arise during model training or data preprocessing.
- Error Messages: Error messages in Keras can sometimes be cryptic or less informative compared to frameworks like PyTorch, which offers more transparent debugging tools.
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