Fix issue #1 by updating Example to latest Keras API #2
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…tested with Theano backend)
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Hi @jasonbunk, thanks for the pull request. I can merge it if you want, but I do not intend to maintain this repo in the long term. It's mostly for demonstration purposes. The main code in the repo has been implemented into Keras, a TensorFlow example, and a Torch package. |
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Fix issue #1 by updating the sentiment LSTM in the Example folder to use the latest Keras API. Uses the Theano backend to fix self._predict_stochastic.
Can be tested by inserting
print(str(MC_model_output))after line 87 of callbacks.py and comparing the difference betweenK.learning_phase(): np.uint8(1)andK.learning_phase(): np.uint8(0)to see the difference between deterministic test-phase dropout and MC dropout.