To resolve this issue, you can disable eager execution using from tensorflow.python.framework.ops import disable_eager_execution followed by disable_eager_execution().
Alternatively, if the above solution fails, consider downgrading NumPy to a version like 1.19.5, as suggested by some users.
Another approach that has been found to be effective is to remove specific imports and instead use comprehensive imports whenever necessary. For example, the following code snippet demonstrates this approach:
``` from tensorflow.keras import datasets, layers, models, optimizers ```