TensorFlow Keras 'load_model' Error: '_UserObject' object has no attribute 'summary'

The code you provided is correct and should work fine. The error message you are seeing, ' '_UserObject' object has no attribute 'summary' ', suggests that the object you are trying to call the summary() method on is not a TensorFlow model object. This typically occurs when the file you're loading isn't a valid TensorFlow model.

Here's a breakdown of the common causes and solutions:

1. Incorrect File Type: Ensure that the 'model.h5' file you are loading is a valid TensorFlow model saved using model.save('model.h5'). If you saved the model using a different format or library, the loaded object might not have the expected structure.

2. Corrupted File: Check if the 'model.h5' file has been corrupted. Try downloading or copying the file again, or re-saving the model using model.save('model.h5').

3. Model Structure Changed: If you have modified the model architecture after saving it, the loaded model won't match the original structure. Re-train and save the model with the updated architecture.

Debugging Steps:

1. Verify File Type: Check if the 'model.h5' file has the correct extension and contents. Try opening it in a text editor to see if it looks like a TensorFlow model.

2. Print the Loaded Object: Print the type of the loaded object to confirm that it's a TensorFlow model. You can do this with print(type(model)).

3. Check the Model History: If you are using a Sequential model, you can access the model's history by using print(model.history.history). This can help identify if the model structure is consistent with what you expect.

By carefully checking the file and its contents, you can identify the source of the error and ensure you're working with a valid TensorFlow model.