Closed swilson314 closed 5 years ago
@swilson314 that's a good question and I don't have the answer. I would say yes. Can you try and let me know?
@philipperemy will do :)
@philipperemy Small update, got code running but ran into error. Will keep you updated: https://stackoverflow.com/questions/53660808/stepping-into-python-code-keras-with-visual-studio-2017
@swilson314 seems like tensorflow.keras does not even support CAUSAL....
@philipperemy I think maybe it does per below, and the source. My guess is that some pre-validation routine hasn't been updated.
https://www.tensorflow.org/versions/r1.10/api_docs/python/tf/keras/layers/Conv1D
padding: One of "valid", "causal" or "same" (case-insensitive). "causal" results in causal (dilated) convolutions, e.g. output[t] does not depend on input[t+1:]. Useful when modeling temporal data where the model should not violate the temporal order. See WaveNet: A Generative Model for Raw Audio, section 2.1.
Yes it's probably that @swilson314
At the moment, it's probably better to just:
pip install tensorflow-gpu
pip install keras
Can this be used with tensorflow.keras, i.e., can I use the usual keras -> tensorflow.keras substitution?