When I load the trained model “model.load_weights(‘models/model.h5’)”,
it shows wrong outputs for test cases as below:
There may be an error in your code, probably for the modelf() function, or perhaps in one_step_attention().
Or, maybe you need to re-run the cells in the notebook that train the model.
It’s always wise to re-run all of the cells every time you open the notebook.
hum, I got 100, so I think model is correct.
I run the code several times, still the same.
This issue is reported occasionally, I’ll see if I can find any of the threads that discuss how to fix it.
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@balaji.ambresh! Isn’t that output similar to the one for which you opened the git issue?
That is correct. I first saw the issue in this topic and filed this ticket. After the following message, I decided not to visit that topic again.
[snippet removed by self]
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Okay, Balaji. ~~~~~~
@Lena_Tannaz_Trigg, check your code in modelf() where you use the post_activation_LSTM_cell() function. It’s “Step 2.B”. You need to pass the correct parameters for the inputs and initial_state.
See the instructions and hints in the notebook.
The unit tests in the notebook do not catch all possible errors in your code.
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Thanks for the guidance